phi / mit press catalogues

Catalogue2012

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Biology ............................................................................................. 3

BUSiNESS & MANAgEMENT ................................................................... 6

Accounting/Finance ...................................................................... 6

iT Project Management .................................................................10

Production/Quantitative Methods ................................................. 11

CoMPUTErS ANd iNForMATioN ProCESSiNg ..........................................13

ECoNoMiCS .........................................................................................46

ENgiNEEriNg ......................................................................................60

Civil ............................................................................................60

Electronics and Electrical ..............................................................61

Mechanical ..................................................................................67

Production ...................................................................................71

ENviroNMENT/ENErgy STUdiES ............................................................72

gENErAl TiTlE ...................................................................................73

JoUrNAliSM/lANgUAgE/liNgUiSTiCS ...................................................74

MAThEMATiCS/STATiSTiCS ....................................................................78

MEdiCiNE ...........................................................................................82

PhiloSoPhy .......................................................................................83

PhySiCS .............................................................................................85

ProFESSioNAl TiTlE ...........................................................................86

PSyChology .......................................................................................87

AUThorWiSE AlPhABETiCAl liSTiNg ....................................................91

Contents

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Computational Molecular Biology is an emerging discipline which is increasingly engaging the attention of computer scientists, mathematicians, and biologists.

This text covers a broad range of algorithmic and combinatorial topics and shows how they are connected to molecular biology and biotechnology. The book has substantial “computational biology without formulas” component that gives biological motivation and computational ideas in a simple way. This simplified presentation of biology and computing aims to make the book accessible to computer scientists entering this new area and to biologists who do not have sufficient background for more involved computational techniques. Every chapter has an introductory section that describes both computational and biological ideas without any formulas.

The book concentrates on computational ideas rather than details of the algorithms and makes special efforts to present these ideas in an easy-to-understand manner.

Key Features• Thetextcoversnewideas—forexample,ComputationalProteomics,GenomeRearrangements,Sequence

Comparison and DNA Arrays—as well as old ideas, for instance, Restriction Mapping, to show that asynthesis of both is necessary for a holistic understanding of the subject.

• The last section ineachchapterbrieflydescribes the important recentdevelopments thatareoutsidethe body of the chapter.

• Largenumberofdiagramsareprovidedtoillustratetheconcepts.

• OnechapterisexclusivelydevotedtoProblems.

• TheexhaustiveBibliographywouldfuelfurtherresearchintothesubject.

This up-to-date and well-researched study would prove to be extremely useful to students of molecular biology, bioinformatics, computer science, and mathematics. Besides, professionals in the field should value it for the new insights it provides into the subject.

Contents: Preface. Computational Gene Hunting. Restriction Mapping. Map Assembly. Sequencing. DNAArrays.SequenceComparison.MultipleAlignment.FindingSignals inDNA.GenePrediction.GenomeRearrangements. Computational Proteomics. Problems. All You Need to Know about Molecular Biology.Bibliography. Index.

Computational moleCular Biology an algorithmic approach

pavel a. pevzner, Professor, Departments of Mathematics,Computer Science, and Biological Sciences, University of Southern California.

332 pp. / 17.8 × 23.5 cm / IsBN-81-203-2550-8 / ` 350.00

Biology

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TheGeneticsofCognitiveNeuroscienceaimstogivethereaderaworkingunderstandingoftheinfluenceof specific genetics variants on cognition, affective regulation, personality, and central nervous system disorders.

It has been known that the aspects of behavior runs in families; studies shows that characteristics related to cognition, temperament, and all major psychiatric disorders are heritable.

The book offers a primer on understanding the genetics mechanisms of such inherited traits.

The chapters emphasize fundamental issues regarding the design of experiments, the use of bioinformatics tools, the integration of data from different levels of analysis and the validity of finding, arguing that association between genes and cognitive processes must be replicable and placed in a neurobiological context for validation.

Contents: Preface. Introduction. i methodologies for genetic association studies of Cognition— Molecular Genetics and Bioinformatics: An Outline for Neuropsychological Genetics—Lucas Kempf and Daniel R. Weinberger. Statistical Methods in Neuropsychiatric Genetics—Kristin K. Nicodemus andFengyuZhang.AnimalModelsofGeneticEffectsonCognition—FrancescoPapaleo,DanielR.Weinberger,and Jingshan Chen. ii genetic approaches to individual Differences in Cognition and affective regulation—The Genetics of Intelligence Danielle Posthuma—Eco J.C. de Geus, and Ian J- Deary.Candidate Genes Associated with Attention and Cognitive Control—John Fossella, Jin Fan, and MichaelI.Posner.GeneticsofCorticolimbicFunctionandEmotionalReactivity—AhmadR.Hariri,ErikaE.Forbes,andKristinL.Bigos.GenesAssociatedwithIndividualDifferences inCognitiveAging—TerryE.GoldbergandVenkataS.Mattay.iii genetic studies of Cognition and treatment response in neuropsychiatric Disease—Genetics of Dyslexia: Cognitive Analysis, Candidate Genes, Comorbidities, and EtiologicInteractions—Bruce F. Pennington, Lauren M. McGrath, and Shelley D. Smith. Cognitive IntermediatePhenotypes in Schizophrenia Genetics—GaryDonohoe, Terry E. Goldberg, andAiden Corvin. The GeneticBasisfortheCognitiveDeteriorationofAlzheimer’sDisease—JohnM.RingmanandJeffreyL.Cummings. Pharmacogenetic Approaches to Neurocognition in Schizophrenia—Katherine E. Burdick and AnilK.Malhotra.Contributors.Index

genetiCs of Cognitive neurosCienCe, the

Edited by:terry e. golDBerg is Professor of Psychiatry and Behavioral Sciences at Albert Einstein College of Medicine and Director of Neurocognitive Research at the Zucker Hillside Hospital’s Psychiatry Research Division and the Litwin Zucker Alzheimer’s Research Center at the Long Island Medical Center in Manhasset, New York.Daniel r. WeinBerger is Chief of the Clinical Brain Disorders Branch and Director of Genes, Cognition, and Psychosis Program at the National Institute of Mental Health of the National Institutes of Health in Bethesda, Maryland.

312 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4299-6 / ` 295.00

Biology

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Becoming conversant with the intricacies of molecular biology and its extensive technical vocabulary can be a challenge, though, as introductory materials often seem more like a barrier than an invitation to the study of life. This text offers a concise and accessible introduction to molecular biology, requiring no previous background in science; it covers the basics in all aspects of molecular biology, from biochemistry and evolution to molecular medicine and biotechnology.

AreaderwhohasmasteredtheinformationinTheProcessesofLifeisreadytomoveontomorecomplexmaterial in almost any area of contemporary biology.

“The Processes of Life is an excellent introduction to molecular biology… . By deconstructing an exceedingly complicated body of information into a set of core principles, Hunter provides the reader with a framework for grasping the strengths and challenges of modern biology... this book’s clarity and frankness make it an invaluable resource for any person, from any profession, seeking an introduction to molecular biology.”

—anDrea l. suárez

“Larry Hunter has once again taken a complicated field and reduced it to a set of key principles and associated examples. His writing style mirrors his personality—enthusiastic, frank, and to the point. This book is a great way for those with a technical background to get up to speed on modern biology and the wealth of challenges it provides.”

—russ B. altman

Contents: Preface. In theBeginning... Evolution.ALittleBitof Chemistry. TheStructureandFunctionof Bacteria. Biological Macromolecules. Eukaryotes.Multicellular Organisms and Development. Anatomy,Physiology,andSystemsBiology.DiseaseandItsTreatment.MolecularBiotechnology.MolecularBioethics.Glossary.Index

proCesses of life, the an introduction to molecular Biology

laWrenCe e. hunter is a Director of Computational Bioscience Program and of the Center for Computational Pharmacology at the University of Colorado School of Medicine.

320 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4078-7 / ` 350.00

Biology

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This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance.

The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses matlab to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.

“One of this book’s many strengths is its structure, the way theory-based chapters alternate with analytical ones. This will make it an invaluable resource in the classroom.”

—thomas J. sargent,DepartmentofEconomics,NewYorkUniversity, andHooverInstitution,StanfordUniversity

“This book ties together numerical methods with state-of-the-art mathematical tools in a user-friendly way. It should be part of the program in ‘math camps’ for incoming graduate students in economics and finance. The matlab programs are a very useful resource for anyone doing applied research.”

—paul D. McNelis,ProfessorofEconomics,GeorgetownUniversity

Contents: Preface. Introduction. Linear Equations and Computer Basics. Nonlinear Equations andComplementarity Problems. Finite-Dimensional Optimization. Numerical Integration and Differentiation.Function Approximation. Discrete Time, Discrete State Dynamic Models. Discrete Time, Continuous StateDynamic Models: Theory and Examples. Discrete Time, Continuous State Dynamic Models: Methods.Continuous TimeModels: Theory and Examples. Continuous TimeModels: SolutionMethods. Appendix A:Mathematical Background. Appendix B: A MatlabPrimer.References.Index.

applieD Computational eConomiCs anD finanCe

mario J. miranDa is Professor and Chair of Graduate Studies, Department of Agricultural, Environmental, and Development Economics, Ohio State University.paul l. faCkler is Associate Professor, Department of Agricultural and Resource Economics, North Carolina State University.

528 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3934-7 / ` 495.00

Business & management accounting/Finance

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This text makes available the most important methodological advances in bond evaluation from the past twentyyears.Withuncommonprecisionandastrongemphasisontheunderlyingeconomicfundamentals,it presents a unified framework for understanding the basic tools of bond evaluation, including duration, convexity, and immunization.

The most valuable feature of the book is a general immunization theorem that can be used by practitioners to protect investors against any change in the structure of spot interest rates. Also of note is the detailedpresentationoftheHeath-Jarrow-Mortonmodelandadiscussionofitsrelationshipswithclassicalimmunization schemes.

Each chapter is followed by a series of questions, problem sets, and projects; detailed solutions to all of them appear at the end of the book.

“Bonds are mathematical securities, and Olivier de La Grandville gives us the economics, the theory, the math, the intuition, and the numerical examples in this wonderfully thorough book.”

—roger iBBotson,YaleSchoolofManagement

“The book can be described as a ‘dream’ toolbox for any bond portfolio analyst.”

—milaD zarin,UniversityofNeuchâtel

Contents: Introduction. A First Visit to Interest Rates and Bonds. An Arbitrage-Enforced Valuation ofBonds.TheVariousConceptsofRatesofReturnonBonds:YieldtoMaturityandHorizonRateofReturn.Duration:Definition,MainProperties,andUses.DurationatWork:TheRelativeBiasintheT-BondFuturesConversion Factor. Immunization: A First Approach. Convexity: Definition, Main Properties, and Uses.The Importance of Convexity in Bond Management. The Yield Curve and the Term Structure of InterestRates. Immunizing Bond Portfolios Against Parallel Moves of the Spot Rate Structure. Continuous Spotand Forward Rates of Return, with Two Important Applications. Two Important Applications. Estimatingthe Long-Term Expected Rate of Return, Its Variance, and Its Probability Distribution. Introducing theConceptofDirectionalDuration.AGeneralImmunizationTheorem,andApplications.ArbitragePricing inDiscrete and Continuous Time. The Heath-Jarrow-Morton Model of Forward Interest Rates, Bond Prices,andDerivatives.TheHeath-Jarrow-MortonModelatWork:ApplicationstoBondImmunization.ByWayofConclusion:SomeFurtherSteps.AnswerstoQuestions.FurtherReading.References.Index.

BonD priCing anD portfolio analysis protecting investors in the long run

olivier de la granDville, Professor of Economics, University of Geneva and Visiting Professor, Department of Management Science and Engineering, Stanford University.

476 pp. / 17.8 × 23.5 cm / IsBN-81-203-2888-4 / ` 395.00


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The microfinance revolution has allowed more than 150 million poor around the world to receive small loans without collateral, build up assets, and buy insurance. This book offers an accessible and engaging analysis of the global expansion of financial markets in poor communities. It introduces readers to the key ideas driving microfinance, integrating theory with empirical data and addressing a range of issues, including savings and insurance, the role of women, impact measurement, and management incentives.

This second edition has been updated throughout to reflect the latest data, with new material oncommercialization, credit contracts, savings and insurance, gender, impact measurement, and governance. Appendixes and problem sets cover technical material.

The book is primarily meant for the undergraduate and postgraduate students of economics and public policy.Researcherspractitionersinthefieldwillalsofindthebookuseful.

“Anyone interested in the science behind microfinance must read this impressive book. It is written with experience in microfinance and deep understanding of economics.”

—muhammaD yunus,NoblePeacePriceLaureate(2006)

“An extraordinary book, inasmuch as it explains not only the underlying rationale of microfinance but, more broadly, of finance itself”

—thomas easton, Asia Business Editor, The Economist

“It is necessary to use critical economic reasoning to understand why the [microfinance] movement is such a success… This book is splendid contribution to that goal, and will be a great help to the students, teachers, and practitioners in economics and social sciences.”

—amartya sen,LamontUniversityProfessor, HarvardUniversity,NobelLaureateinEconomics(1998)

Contents: Preface to the Second Edition. Preface to the First Edition. Acknowledgements. RethinkingBanking.WhyInterveneinCreditMarkets?.RootsofMicrofinance:ROSCAsandCreditCooperatives.GroupLending. Beyond Group Lending. Savings and Insurance. Gender. Commercialization and Regulation.Measuring Impacts. Subsidy and Sustainability.ManagingMicrofinance.Notes. References.Abbreviations.

Name Index. SubjectIndex.

eConomiCs of miCrofinanCe, the 2nd ed.

Beatriz armenDáriz is Lecturer in Economics at Harvard University, on leave from University College London, where she is Senior Lecturer in Economics.Jonathan morDuCh is Associate Professor of Public Policy and Economics at New York University.

488 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-4271-2 / ` 425.00


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An innovative and easily accessible textbook for students in financial mathematics, financial engineering and economics, this book provides a rigorous overview of the subject.

Each chapter presents mathematical models of financial problems at three different degrees of sophistication: single-period, multi-period, and continuous-time. The single-period and multi-period models require only basic calculus and an introductory probability/statistics course, while an advanced undergraduate course in probability is helpful in understanding the continuous-time models. In this way, the material is given complete coverage at different levels; the less advanced student can stop before the more sophisticated mathematics and still be able to grasp the general principles of financial economics.

“This is a sophisticated yet highly readable introduction to the most important ideas of modern financial economics by two leading experts in mathematical finance.”

—anDreW W. lo,Harris&HarrisGroupProfessor,SloanSchool,MIT

“This book provides a very clear and readable approach to the structure, background, and theory of modern financial markets. It can easily be used as a text for a graduate course in quantitative finance and as a reference by practitioners. Unlike more mathematical treatments, however, most of its content should also be accessible to good MBA students.”

—roBert J. elliott,RBCFinancialGroupProfessorofFinance,UniversityofCalgary

“This book is the first of its kind—an accessible but rigorous treatment of classic dynamic asset-pricing models, appropriate for master’s-level or introductory doctoral courses, and suitable for students from various fields, including economics, finance, or applied mathematics. An excellent contribution.”

—Darrell Duffie,GraduateSchoolofBusiness,StanfordUniversity

Contents: Preface. i: the setting: markets, models, interest rates, utility maximization, risk—FinancialMarkets. InterestRates.ModelsofSecuritiesPrices inFinancialMarkets.OptimalConsumption/Portfolio Strategies. Risk. ii: priCing anD heDging of Derivative seCurities—Arbitrage and Risk-Neutral Pricing. Option Pricing. Fixed-Income Market Models and Derivatives. Hedging. Bond Hedging.Numerical Methods. iii: equiliBrium moDels—Equilibrium Fundamentals. CAPM. Multifactor Models.OtherPureExchangeEquilibria.Appendix:ProbabilityTheoryEssentials. References.Index.

introDuCtion to the eConomiCs anD mathematiCs of finanCial markets

Jakša Cvitanić, Professor of Mathematics and Economics, University of Southern California.fernanDo zapatero, Assistant Professor, Finance, Marshall School of Business and Department of Economics, the University of Southern California.

520 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2889-1 / ` 395.00


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It has been widely reported that IT project failure is overwhelmingly traceable to poorly defined project organization, a lack of training, weak executive support, inconsistent methods and policies, and other readily addressed factors. More than half of all IT projects overrun their budgets, schedules, or both by atleast200percent.

This book provides systems project managers with field - proven tools and step-by-step methodologies to startandcompleteeveryproject—hardware,software,orintegration—withinprescribedparameters.Withthe project management methodology presented in this book and its focus on the practical applications, the IT managers can make every project run smoothly, efficiently and profitably.

Coverage includes:

q Organizinginformationtechnologyprojectteamsanddevelopingprojectplansq RiskmanagementissuesforITprojectsq Systemsengineeringq Customer requirements and serviceq Projectmonitoring,control,closeoutandassessment

Contents: Acknowledgments. Introduction. The Foundations of Project Management. InformationTechnology Project and Systems Life Cycles: Project Management and Team Activities. Identifying andDevelopingCustomerRequirements.OrganizingtheProjectTeam.DevelopingtheInformationTechnologyProject Plan. Risk Management in Information Technology Projects. Systems Engineering: The Hub ofProject Management. Project Monitoring and Control. Rapid Development in IT Projects. Principles ofProjectCloseout.CustomerService—FinishingProject.Index.

managing information teChnology proJeCtsApplyingProjectManagementStrategiestoSoftware, Hardware,andIntegrationInitiatives

James taylor is a PMI® certified project manager with more than 30 years’ experience in projects and program management in both the public and private sectors.

288 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-4302-3 / ` 275.00

Business & management IT Project Management

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The progress in optimization techniques and information technology has made it possible to solve complex problems involvinguncertainty and severe time constraints. For example in the airline industry complexfleet assignments, crew scheduling, gate allocation etc. have to be preciselyworked out using advanceoptimization algorithms, but major disruptions like unforeseen weather conditions, strikes, breakdown etc. have also to be reckoned. Increasingly there are many industries and occupations—from manufacturingunits and power grid networks to emergency ambulance services to packed scheduling for internet communication and reservation system—need to employ online decision making processes. This bookpresents the ideal framework, online stochastic combinatorial optimization to address this challenge.

The text gives several online stochastic algorithms implementing the framework, provides performance guarantees, and demonstrates a variety of applications. The authors discuss how to relax some of the assumptions in using historical sampling and machine learning and analyze different underlying algorithmic problems before addressing the framework’s possible limitations and suggesting directions for future research.

The main innovation in the text lies in the class of online anticipatory algorithms that combine online algorithms(fromcomputerscience)andstochasticprogramming(fromoperationresearch),andcombinatorialoptimization for sequential decision making under uncertainty.

Useful for advanced courses in operations research, computer science, and production engineering, thisbook will also be a useful companion to professionals concerned with optimization technology and online decision making methods.

Contents: Preface. Introduction. i online stoChastiC sCheDuling—Online Stochastic Scheduling.Theoretical Analysis. Packet Scheduling. ii online stoChastiC reservations—Online StochasticReservations. Online Multiknapsack Problems. iii online stoChastiC routing—Vehicle Routing withTimeWindows.Online Stochastic Routing.OnlineVehicleDispatching.OnlineVehicle Routingwith TimeWindows. iv learning anD historiCal sampling—Learning Distributions. Historical Sampling. v sequential DeCision making—MarkovChance-DecisionProcesses.References.Index.

online stoChastiC ComBinatorial optimization

pasCal van hentenryCk and russell Bent

248 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3239-3 / ` 225.00

Business & management Production/Quantitative Methods

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This book offers a comprehensive introduction to workflow management, the management of businessprocesses with information technology. By defining, analyzing, and redesigning an organization’s resources andoperations,workflowmanagementsystemsensurethattherightinformationreachestherightpersonor computer application at the right time. The book provides a basic overview ofworkflow terminologyandorganization,aswell asdetailedcoverageofworkflowmodelingwithPetrinets.BecausePetrinetsmake definitions easier for nonexperts to understand, they facilitate communication between designers and users. The book includes a chapter of case studies, review exercises, and a glossary.

“This book provides a very good, wide-ranging introduction to the theory of workflow technology. Of particular note is the rigorous derivation of workflow process models using Petrinet formalization.”

—DaviD HolliNgswortH, Distinguished Engineer, ICLPathway,UK,andChairman,WorkflowManagementCoalition,TechnicalCommittee

Contents: Series Foreword. Acknowledgments. Introduction. Organizing Workflows. Modeling Workflows.ManagementofWorkflows.AnalyzingWorkflows.FunctionsandArchitectureofWorkflowSystems.Roadmapfor Workflow System Development. Sagitta 2000 Case Study. Appendix A: Workflow Theory. Appendix B:WorkflowModelingUsingUML.SolutionstoExercises.Glossary.Bibliography.Index.

WorkfloW management models, methods, and systems

Wil van Der aalst and kees van hee

348 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-3794-7 / ` 325.00

Business & management Production/Quantitative Methods

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This book brings together the latest research—in statistics, databases, machine learning, and artificialintelligence—that are part of the exciting and rapidly growing field of Knowledge Discovery and DataMining.

The chapters of this book, organized into eight sections, span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augmented database systems, and application case studies:

part one deals with fundamental issues in discovery.

part two examines specific techniques for data mining.

part three presents methods for dealing with trend and deviation analysis.

part four focuses on data mining techniques for deriving dependencies.

part five discusses integrated discovery systems.

part six presents approaches for next-generation database systems.

part seven presents several real and successful applications.

the appendices provides a list of terms used in the literature of this fast-expanding field, and a list of onlineresourcesfortheKDDresearcher.

Contents: ForewordPreface.FromDataMiningtoKnowledgeDiscovery:AnOverview.i. foundations—The Process of Knowledge Discovery in Databases: A Human-Centered Approach. Graphical Models forDiscoveringKnowledge.AStatisticalPerspectiveonKnowledgeDiscoveryinDatabases.ii. Classification and Clustering—InductiveLogicProgrammingandKnowledgeDiscovery inDatabases.BayesianClassification(AutoClass):TheoryandResults.DiscoveringInformativePatternsandDataCleaning.TransformingRulesandTreesintoComprehensibleKnowledgeStructures.iii. trend and Deviation analysis—FindingPatternsin Time Series: A Dynamic Programming Approach. Explora: A Multipattern and Multistrategy DiscoveryAssistant. iv. Dependency Derivation—Bayesian Networks for Knowledge Discovery. Fast Discovery ofAssociation Rules. From Contingency Tables to Various Forms of Knowledge in Databases.v. integrated Discovery systems—IntegratingInductiveandDeductiveReasoningforDataMining.MetaqueriesforDataMining. Exploration of the Power of Attribute-Oriented Induction in Data Mining. vi. next generation Database systems—Using Inductive Learning To Generate Rules for Semantic Query Optimization. DataSurveyor: Searching the Nuggets in Parallel. vii. kDD applications—Automating the Analysis and CatalogingofSkySurveys.SelectingandReportingWhatisInteresting:TheKEFIRApplicationtoHealthcareData.ModelingSubjectiveUncertaintyinImageAnnotation.PredictingEquityReturnsfromSecuritiesDatawithMinimalRuleGeneration. FromDataMining toKnowledgeDiscovery: CurrentChallengesandFutureDirections. viii. appendices—A: Knowledge Discovery in Databases Terminology. B: Data Mining andKnowledgeDiscoveryInternetResources.AbouttheEditors.Index.

aDvanCes in knoWleDge DisCovery anD Data miningEdited by:usama m. fayyaD is a Technical Group Supervisor of the Machine Learning Systems Group at the Jet Propulsion Laboratory, California institute of Technology.gregory piatetsky-shapiro is a Principal Member of the Technical Staff at GTE Laboratories.paDhraiC symth is a Technical Group Leader at the Jet Propulsion Laboratory, California Institute of Technology.ramasamy uthurusamy is Project Leader at General Motors R&D Center.

628 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-4134-0 / ` 525.00

Computers anD information proCessing

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This book introduces the rapidly growing field of ant colony optimization. It gives a broad overview of manyaspectsofACO, ranging fromadetaileddescriptionof the ideasunderlyingACO, to thedefinition ofhowACOcangenerallybeappliedtoawiderangeofcombinatorialoptimizationproblems,anddescribesmanyoftheavailableACOalgorithmsandtheirmainapplications.

The book first describes the translation of observed ant behaviour into working optimization algorithms. The ant colony metaheuristics is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and areportoncurrent theoreticalfindings. Thebook surveysACOapplicationsnow inuse, including routing,assignment,scheduling,subset,machinelearning,andbioinformaticsproblems.AntNet,anACOalgorithmdesigned for network routing problem, is described in detail. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises.

Thebookisintendedprimarilyfor(1)academicandindustryresearchersinoperationsresearch,artificialintelligence, and computational intelligences; (2) practitioners willing to learn how to implement ACOalgorithmstosolvecombinatorialoptimizationproblems;and(3)graduateandpostgraduatestudents incomputer science, management studies, operations research, and artificial intelligence.

Contents: Preface. Acknowledgments. From Real to Artificial Ants. The Ant Colony OptimizationMetaheuristic. Ant Colony Optimization Algorithms for the Traveling Salesman Problem. Ant ColonyOptimizationTheory.AntColonyOptimizationforNP-HardProblems.AntNet:AnAlgorithmforDataNetworkRouting.ConclusionsandProspectsfortheFuture.Appendix.References.Index.

ant Colony optimization

marCo Dorigo is research director of IRIDA lab at the Universite Libre de Bruxelles and the inventor of the ant colony optimization metaheuristic for combinatorial optimization problems. thomas stÜtzle is Assistant Professor in the Computer Science Department at Darmstadt University of Technology.

320 pp. / 17.8 × 23.5 cm / isBn-81-203-2684-9 / ` 325.00


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This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems, immune systems; behavioral systems—including several approaches to robotics, such as behavior-based, biomimetic, epigenetic, andevolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive coevolving systems. Chapters end with a concluding overview and suggested reading.

“Bio-Inspired Artificial Intelligence brings together all the things I’ve been interested in for the last twenty-five years, and surprises me by providing a coherent intellectual framework for them all. This book is a treasure trove of history from Darwin to Gibson and Walter, an unambiguous tutorial on how to build a plethora of computational models, and a healthy exploration of the philosophies that have driven wide-ranging research agendas.”

—roDNey Brooks,PanasonicProfessorofRobotics, DepartmentofElectricalEngineeringandComputerScience,MIT

Contents: Preface. Acknowledgments. Evolutionary Systems. Cellular Systems. Neural Systems.DevelopmentalSystems.ImmuneSystems.BehavioralSystems.CollectiveSystems.Conclusion.References.Index.

Bio-inspireD artifiCial intelligenCe theories, methods, and technologies

Dario floreano, Director, Laboratory of Intelligent Systems, Swiss Federal Institute of Technology, Lausanne (EPFL).ClauDio mattiussi, Researcher, Laboratory of Intelligent Systems, EPFL.

676 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3935-4 / ` 595.00


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This book is aimed at training aspiring computational biologists to handle new and unanticipated problems. It teaches the students how to reason about developing formal mathematical models of biological systems that are amenable to computational analysis. The text covers models of optimization, simulation and sampling, and parameter tuning. These topics provide a general framework for learning how to formulate mathematical models of biological systems, what techniques are available to work with these models, and how to fit the models to particular systems. Their application is illustrated by many examples drawn from a variety of biological disciplines and several extended case studies that show how the methods described have been applied to real problems in biology.

“In twenty-first-century biology, modeling has a similar role as the microscope had in earlier centuries; it is arguably the most important research tool for studying complex phenomena and processes in all areas of the life sciences, from molecular biology to ecosystems analysis. Every biologist therefore needs to be familiar with the basic approaches, methods, and assumptions of modeling. Biological Modeling and Simulation is an essential guide that helps biologists explore the fundamental principles of modeling. It should be on the bookshelf of every student and active researcher.”

—manfreD D. lauBiChler SchoolofLifeSciences,ArizonaStateUniversity

Contents: Preface. Introduction. i moDels for optimization—Classic Discrete OptimizationProblems. Hard Discrete Optimization Problems. Case Study: Sequence Assembly. General ContinuousOptimization. Constrained Optimization. ii simulation anD sampling—Sampling from ProbabilityDistributions. Markov Models. Markov Chain Monte Carlo Sampling. Mixing Times of Markov Models.Continuous-Time Markov Models. Case Study: Molecular Evolution. Discrete Event Simulation. NumericalIntegration. Ordinary Differential Equations. Numerical Integration. Partial Differential Equations.Numerical Integration. Stochastic Differential Equations. Case Study: Simulating Cellular Biochemistry. iii parameter-tuning—Parameter-Tuning as Optimization. Expectation Maximization. Hidden MarkovModels. Linear System-Solving. Interpolation and Extrapolation. Case Study: Inferring Gene RegulatoryNetworks.ModelValidation.References.Index.

BiologiCal moDeling anD simulation a survey of practical models, algorithms, and numerical methods

russell sChWartz

528 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3889-0 / ` 395.00


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C# is a class-based single-inheritance object-oriented programming language designed for the common LanguageRuntimeofMicrosoft’s.Netplatformwhichisamanagedexecutionenvironmentwithatypesafeintermediate language and automatic memory management. Though C# is similar in many respects to the Java programming language, it is more comprehensive and different in most details.

ThebookpresentstheentireC#2.0programminglanguage,includinggenerics,iterators,andanonymousmethods. It excludes most of the extensive Microsoft.Net framework class libraries except threads, input/output, and generic collection classes. The final chapter of this book summarizes the differences between C# and Java. The text shows general rules on left-hand pages, with corresponding examples on right-hand pages. All examples are fragments of legal C# programs.

The book is eminently suited for anyone who wishes to learn C# besides Java and as a quick reference for anyone who wants to know C# in more detail than that provided by a standard textbook.

Contents: Preface. Notational Conventions. Compiling, Loading and Executing C# Programs. Names andReserved Names. C# Naming Conventions. Comments and Program Layout. Data and Types. Variables, Parameters, Fields, andScope.Strings. StringBuilders.Arrays. Classes. TheMachineModel: Stack,Heap,and Garbage Collection. Expressions. Statements. Struct Types. Interfaces. Enum Types. Delegate Types.NullableTypesoverValueTypes(C#2.0).Exceptions.Threads,ConcurrentExecution,andSynchronization.MathematicalFunctions.InputandOutput.GenericTypesandMethods(C#2.0).GenericCollections:ListsandDictionaries(C#2.0).Namespaces.PartialTypeDeclarations(C#2.0).AssertionsandtheDebug.AssertMethod.Attributes.MainDifferencesBetweenC#andJava.References. Index.

C# preCisely

peter sestoft, Professor of Information Technology at the Royal Veterinary Agricultural University and at the IT University of Copenhagen, Denmark.henrik i. hansen.

216 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2793-1 / ` 195.00


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The book explores the interplay between language learning and evolution in the context of linguistic systems. Learning is the mechanism by which language is transferred from one generation of speakersto another. If linguistic knowledge is characterized in computational terms as a formal grammar and the mapping procedure is algorithmic, this conceptualization admits computational and mathematical modes of inquiry into language learning.

In this book Partha Niyogi introduces a framework for analyzing the precise nature of the relationshipbetween learning by the individual and evolution of the population. We can observe the learning oflanguage by children and marvel at the phenomenon of language acquisition; the evolution of a language, however, is not so directly experienced. In language evolution, one studies how linguistics evolved.

IntendedmainlyforstudentsofLinguistics(Computationallinguistics),thebookwillalsoproveusefulasareferenceforresearchersinthefieldandthosepursuingcoursesinAI/TheoreticalComputerScience.

Contents: Preface. Acknowledgments. i the proBlem—Introduction. ii language learning—LanguageAcquisition:TheProblemofInductiveInference.LanguageAcquisition:ALinguisticTreatment.Language Acquisition: Memoryless Learning. iii language Change—Language Change: A PreliminaryModel. Language Change: Multiple Languages. An Application to Portuguese. An Application to ChinesePhonology. AModel of Cultural Evolution and Its Application to Language. Variations and Case Studies. iv the origin of language—TheOriginofCommunicativeSystems:CommunicativeEfficiency.TheOriginofCommunicativeSystems:LinguisticCoherenceandCommunicativeFitness.TheOriginofCommunicativeSystems:LinguisticCoherenceandSocialLearning.v ConClusions—Conclusions. Bibliography. Index.

Computational nature of language learning anD evolution, the

partha niyogi

504 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3173-0 / ` 425.00


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This innovative text presents programming as a unified discipline in a way that is both practical and scientifically sound. The book focuses on techniques of lasting value and explains them precisely in terms of a simple abstract machines.

After an introduction to programming concepts, the book presents both well-known and lesser-known computation models (“programming paradigm”). Each model has its own set of techniques and each isincluded on the basis of its usefulness in practice. The general models include declarative programming, declarative concurrency, explicit state, object-oriented programming, shared-state concurrency, and relational programming. Specialized models include graphical user interface programming, distributedprogramming, and constraint programming. Each model is based on its kernel language—a simple corelanguage that consists of a small number of programmer-significant elements. The kernel languages are introduced progressively, adding concepts one by one, thus showing the deep relationships between different models. The kernel languages are defined precisely in terms of a simple abstract machine. The book has manyprogram fragments and exercises, all ofwhich canbe runon theMozart Programming system, anOpenSourceSoftwarepackagethatfeaturesaninteractiveincrementaldevelopmentenvironment.

The book intends to be used in undergraduate courses on programming concepts and techniques, applied programming models, concurrent and distributed programming, computational models and on constraint programming.

Contents: Preface. Running the Example Programs. Introduction to Programming Concepts. i general Computation moDels—DeclarativeComputationModel.DeclarativeProgrammingTechniques.DeclarativeConcurrency. Message-Passing Concurrency. Explicit State. Object-Oriented Programming. Shared-StateConcurrency. Relational Programming. ii speCializeD Computation moDels—Graphical User InterfaceProgramming. Distributed Programming. Constraint Programming. iii semantiCs—Language Semantics.iv appenDixes—References.Index.

ConCepts, teChniques, anD moDels of Computer programmingpeter van roy is Professor in the Department of Computing Science and Engineering at Universite Catholique de Louvain, at Louvain-la-Neuve, Belgium.seif hariDi is Professor of Computer Systems in the Department of Microelectronics and Information Technology at the Royal Institute of Technology, Sweden, and Chief Scientific Advisor of the Swedish Institute of Computer Science.

932 pp. / 17.8 × 23.5 cm / IsBN-81-203-2685-9 / ` 450.00


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DataMining,orKnowledgeDiscovery,hasbecomeanindispensabletechnologyforbusinessandresearchersin many fields. Drawing on work in such areas as statistics, machine learning, pattern recognition, databases, and high performance computing, data mining extracts useful information from the large data set now available to industry and science. This collection surveys the most recent advances in the field and charts directions for future research.

The first part discusses topics that include distributed data mining algorithms for new application areas, several aspects of next-generation data mining systems and applications, and detection of recurrent patterns in digital media. The second examines such topics as bio-surveillance, marshalling evidence through data mining, and link discovery. The third focuses at scientific data mining; and the topics include mining temporally-varying phenomena, data sets using graphs, and spatial data mining. The last part considers web, semantics and data mining, examining advances in text mining algorithms and software, semantic webs, and other subjects.

The book serves as a supplementary text for the students of Information Technology. It should also be of interest to the professionals of knowledge management.

Contents: Foreword. Preface. pervasive, Distributed, and stream Data mining—Existential PleasuresofDistributedDataMining.Research Issues inMiningandMonitoringof IntelligenceData.AConsensusFrameworkforIntegratingDistributedClusteringsUnderLimitedKnowledgeSharing.DesignofDistributedData Mining Applications on the Knowledge Grid. Photonic Data Services: Integrating Data, Networkand Path Services to Support Next Generation Data Mining Applications. Mining Frequent Patterns inData Streams at Multiple Time Granularities. Efficient Data-Reduction Methods for On-Line AssociationRuleDiscovery.DiscoveringRecurrent Events inMultichannelData StreamsUsingUnsupervisedMethods.Counterterrorism, privacy, and Data mining—Data Mining for Counterterrorism. Biosurveillance and Outbreak Detection. MINDS—Minnesota Intrusion Detection System. Marshalling Evidence Through DataMining in Support of Counter Terrorism. Relational Data Mining with Inductive Logic Programming forLink Discovery. Defining Privacy for Data Mining. scientific Data mining—Mining Temporally-Varying Phenomena in ScientificDatasets.Methods forMiningProteinContactMaps.MiningScientificDataSetsusingGraphs.Challenges inEnvironmentalDataWarehousingandMining.Trends inSpatialDataMining.Challenges in Scientific Data Mining: Heterogeneous, Biased, and Large Samples. Web, semantics, and Data mining—WebMining—Concepts,Applications,andResearchDirections.AdvancementsinTextMiningAlgorithmsandSoftware.OnDataMining,Semantics,andIntrusionDetection:WhattoDigforandWheretoFindIt.UsageMiningforandontheSemanticWeb.Bibliography.Index.

Data mining next generation Challenges and future DirectionsEdited by:hillol kargupta, anupam Joshi and yelena yesha are teaching in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County. The first author is also affiliated with AGNIKLLC in Columbia. krishnamoorthy sivakumar, Assistant Professor at the School of Electrical Engineering and Computer Science, Washington State University.

576 pp. / 13.9 × 21.6 cm / IsBN-978-81-203-2794-8 / ` 350.00


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This comprehensive text uses a simple and concise framework to teach key ideas in programming language design and implementation. The book’s unique approach is based on a family of syntactically simple pedagogical languages that allow students to explore programming language concepts systematically. It takes as its premise and starting point the idea that when language behaviors become incredibly complex, the description of the behaviors must be incredibly simple.

The book presents a set of tools (a mathematical metalanguage, abstract syntax, operational anddenotational semantics) and uses it to explore a comprehensive set of programming language designdimensions, including dynamic semantics (naming, state, control, data), static semantics (types, typereconstruction,polymorphism,effects),andpragmatics(compilation,garbagecollection).

“This new textbook by Franklyn Turbak, David Gifford, and Mark Sheldon—comprehensive, thorough, pedagogically innovative, impeccably written and organized—greatly enriches the area of programming languages and will be an important reference for years to come.”

—assaf kfoury,DepartmentofComputerScience,BostonUniversity

Contents: Preface. Acknowledgments. i founDations—Introduction. Syntax. Operational Semantics.Denotational Semantics. Fixed Points. ii DynamiC semantiCs—FL: A Functional Language. Naming.State. Control. Data. iii statiC semantiCs—Simple Types. Polymorphism and Higher-order Types. TypeReconstruction.AbstractTypes.Modules.EffectsDescribeProgramBehavior.iv pragmatiCs—Compilation. GarbageCollection.A:AMetalanguage.B:OurPedagogicalLanguages.References.Index.

Design ConCepts in programming languages

franklyn turBak Associate Professor, Computer Science Department at Wellesley College.DaviD gifforD Professor of Computer Science and Engineering at MIT. mark a. shelDon Visiting Assistant Professor, Computer Science Department at Wellesley College.

1348 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3996-5 / ` 695.00


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Dynamic Logic is a formal system for reasoning about programs and it also enjoys the singular advantage of being strongly related to classical logic. Traditionally, this has meant formalizing correctness specifications aremetbyaparticularprogram.ThisbookpresentsacomprehensiveintroductiontoDynamicLogic(DL).It can be described as a blend of three complementary classical ingredients: first-order predicate logic, modal logic, and the algebra of regular events. These components merge to form a system of remarkable unity that is theoretically rich as well as practical.

Thetext isdivided intothreeparts:Part I reviewsthe fundamentalconceptsof logicandcomputabilitytheorythatareneededinthestudyofDynamicLogic.PartIIdiscussesPropositionalDynamicLogicanditsvariants,andPartIIIdiscussesFirst-OrderDynamicanditsvariants.Examplesareprovidedthroughout,and a collection of exercises and a short historical section are included at the end of each chapter.

The book will be well suited for the students of computer science and those pursuing postgraduate courses in philosophy.

Contents: Preface.i funDamental ConCepts—MathematicalPreliminaries.ComputabilityandComplexity.Logic. Reasoning About Programs. ii propositional DynamiC logiC—Propositional Dynamic Logic.Filtration and Decidability. Deductive Completeness. Complexity of PDL. Nonregular PDL. Other Variantsof PDL. iii first-orDer DynamiC logiC—First-Order Dynamic Logic. Relationshipswith Static Logics.Complexity.Axiomatization.ExpressivePower.VariantsofDL.OtherApproaches.References.NotationandAbbreviations. Index.

DynamiC logiC

DaviD harel, The Weizmann Institute.Dexter kozen, Cornell University.Jerzy tiuryn, University of Warsaw.

476 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3171-6 / ` 295.00


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This book, unlike other texts, provides an integrated picture of applied computer science. It leads students from the scratch to gradually building a basic hardware platform and a modern software hierarchy, giving them in the process, the hands-on knowledge of hardware architecture, operating systems, programming languages, compilers, data structures, algorithms and software engineering. It also demonstrates how theoretical and applied techniques taught in other courses fit into the overall picture.

ThismuchawaitedbookfromMITPressisnowavailableinthelowpricedEasternEconomyEdition.Thebook’s web site provides all tools and materials necessary to build the hardware and software systems described in the text, including two hundred test programs for the twelve projects. The projects and systems can be modified to meet various teaching needs. The supplied software is open-source.

“A refreshingly new way of looking at computer systems as a whole by considering all aspects of a complete system in an integrated manner.”

—Jonathan BoWen,TimesHigherEducationSupplement

Contents: Preface.Introduction:Hello,WorldBelow.BooleanLogic.BooleanArithmetic.SequentialLogic.MachineLanguage.ComputerArchitecture.Assembler.VirtualMachineI:StackArithmetic.VirtualMachineII: Program Control. High-Level Language. Compiler I: Syntax Analysis. Compiler II: Code Generation.OperatingSystem.Postscript:MoreFuntoGo.AppendixA:HardwareDescriptionLanguage(HDL).AppendixB:TestScriptingLanguage.Index.

elements of Computing systems, the Building a modern Computer from first principles

noam nisan, Professor, Institute of Computer Science and Engineering, Hebrew University of Jerusalem.shimon sChoCken, IDB Professor of Information Technologies and Dean, Efi Arazi School of Computer Science, Interdisciplinary Center Herzliya.

344 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2885-3 / ` 195.00


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This book provides students with a deep, working understanding of the essential concepts of programming languages. Most of these essentials relate to the semantics, or meaning, of program elements, and the text usesinterpreters(shortprogramsthatdirectlyanalyzeanabstractrepresentationoftheprogramtext)toexpress the semantics of many essential language elements in a way that is both clear and executable. The approach is both analytical and hands-on. The book provides views of programming languages using widely varying levels of abstraction, maintaining a clear connection between the high-level and low-level views. Exercises are a vital part of the text and are scattered throughout; the text explains the key concepts, and the exercises explore alternative designs and other issues. The complete Scheme code for all theinterpretersandanalyzersinthebookcanbefoundonlinethroughTheMITPressWebsite.

Forthisnewedition,eachchapterhasbeenrevisedandmanynewexerciseshavebeenadded.Significantadditions have been made to the text, including completely new chapters on modules and continuation-passing style. Essentials of Programming Languages can be used for both graduate and undergraduate courses, and for continuing education courses for programmers.

“With lucid prose and elegant code, this book provides the most concrete introduction to the few building blocks that give rise to a wide variety of programming languages. I recommend it to my students and look forward to using it in my courses.”

—cHuNg-cHieH sHaN,DepartmentofComputerScience,RutgersUniversity

“I’ve found the interpreters-based approach for teaching programming languages to be both compelling and rewarding for my students. Exposing students to the revelation that an interpreter for a programming language is itself just another program opens up a world of possibilities for problem solving. The third edition of Essentials of Programming Languages makes this approach of writing interpreters more accessible than ever.”

—Marc l. sMitH,DepartmentofComputerScience,VassarCollege

Contents:ForewordbyHalAbelson.Preface.Acknowledgements.InductiveSetsofData.DataAbstraction.Expressions.State.Continuation-PassingInterpreters.Continuation-PassingStyle.Types.Modules.ObjectsandClasses.A:ForFurtherReading.B:TheSLLGENParsingSystem.Bibliography.Index.

essentials of programming languages, 3rd ed.

Daniel p. frieDman, Professor of Computer Science, Indiana University.mitChell WanD, Professor of Computer Science, Northeastern University.

432 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3806-7 / ` 325.00


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Evolutionary Computation is the general term used for several computational techniques which are based to some degree on the evolution of biological life in the natural world. The computer scientist and engineers use this tool for solving complex problems and to build new models; the biologists use them to develop and test better models of natural evolutionary system; and the artificial-life scientists use them for designing and implementing artificial worlds. The most widely used form of evolutionary computation are genetic algorithms, others being genetic programming, evolution strategies and evolutionary programming.

De Jong presents a comprehensive and integrated overview of this fragmented field in this book. This makes it suitable for classroom use as well as a reliable reference for computer scientists and engineers especially working in optimization problems.

Contents: Introduction. A Historical Perspective. Canonical Evolutionary Algorithms. A Unified View ofSimple EAs. Evolutionary Algorithms as Problem Solvers. Evolutionary Computation Theory. Advanced ECTopics.TheRoadAhead.AppendixA: Source Code Overview. Bibliography. Index.

evolutionary Computation a unified approach

kenneth a. De Jong, Professor of Computer Science, Head of Evolutionary Computation Laboratory, and Associate Director of the Krasnow Institute at George Mason University.

268 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3002-3 / ` 250.00


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Object-orientedprogramminghasemergedasthedominantcomputerprogrammingstyle,andobject-orientedlanguages such as C++ and Java are immensely popular with academics and industry professionals.

This book provides a comprehensive description of the foundations of statically typed class-based object-oriented programming languages. It begins by analyzing existing object-oriented languages, paying special attention to their type systems and impediments to expressiveness. The text then examines two key features: subtypes and subclasses. After a brief introduction to the lambda calculus, it presents a prototypical object-oriented language, SOOL, a simple type systemwhich is similar to systems of class-based object-oriented languages in common use. The text concludes with a discussion of features, such as parametric polymorphism and MyType construct, which are not yet included in most statically typed object-oriented languages.

This book, which treats a subject of current interest, should prove highly useful to students of computer science and IT as well as to professionals in the field.

Key Features• Introducesreaderstokeyissuesinthetypesystemsofobject-orientedprogramminglanguages.

• Providescorematerialonclass-basedobject-orientedlanguages.

• Highlightstheformalismforwritingthesyntaxandtype-checkingrulesforprogramminglanguages.

Contents: List of Figures. Preface. part one: type proBlems in oBJeCt-orienteD languages—Introduction. Fundamental Concepts of Object-Oriented Languages. Type Problems in Object-OrientedLanguages.AddingExpressivenesstoObject-OrientedLanguages.UnderstandingSubtypes.TypeRestrictionson Subclasses. Varieties of Object-Oriented Programming Languages. part tWo: founDations: the lamBDa CalCulus—Formal Language Descriptions and the Lambda Calculus. The Polymorphic LambdaCalculus. part three: formal DesCriptions of oBJeCt-orienteD languages—SOOL, a SimpleObject-Oriented Language. A Simple Translational Semantics of Objects and Classes. Improved SemanticsforClasses.SOOL’sTypeSystemisSafe(andSound).CompletingSOOL:super,nil,InformationHiding,andMultiple Inheritance. part four: extenDing simple oBJeCt-orienteD languages—Adding Bounded Polymorphism to SOOL. Adding MyType to Object-Oriented Programming Languages. Match-BoundedPolymorphism.Simplifying:DroppingSubtypingforMatching.Bibliography.Index.

founDations of oBJeCt-orienteD languagestypes and semantics

kim B. BruCe, Professor of Computer Science, Williams CollegeWilliams Town, Massachusetts.

404 pp. / 17.8 × 23.5 cm / IsBN-81-203-2456-0 / ` 295.00


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As book review editor of the IEEE Transactions on Neural Networks,MohamadHassounhashadtheopportunityto assess the multitude of books on artificial neural networks that have appeared in recent years. Now, in Fundamental of Artificial Neural Networks, he provides the first systematic account of the artificial neural network paradigms by identifying clearly the fundamental concepts and major methodologies that underlie most of the current theory and practice employed by neural network researchers. This text emphasizes the fundamental theoretical aspects of the computational capabilities and the learning abilities of artificial neural networks.

The text assumes that the reader is conversant with the concept of a system and the notion of a “state”, as well as with the basic elements of Boolean algebra and switching theory.

Contents:Preface.Acknowledgment.Abbreviations.Symbols.ThresholdGates.ComputationalCapabilitiesofArtificialNeuralNetworks.LearningRules.MathematicalTheoryofNeuralLearning.AdaptiveMultilayerNeural Networks I. Adaptive Multilayer Neural Networks II. Associative Neural Memories. Global SearchMethodsforNeuralNetworks.References.Index.

funDamentals of artifiCial neural netWorks

mohamaD h. hassoun, Associate Professor, Department of Electrical and Computer Engineering, Wayne State University.

540 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-1356-9 / ` 350.00


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Today, programming has become a required skill in many professions. Traditional forms of programming are useful for just a few people. But a broader notion of programming as conceived by the authors of this text is useful for everyone as it teaches problem-analysis and problem-solving skills without imposing the overhead of traditional programming notations and tools.

The main focus of the text is on the design process that leads the readers from problem statements to well-organized solutions—deemphasizing the study of programming language details, algorithmicminutiae, and specific application domains.

The book exposes the readers to two fundamentally new ideas—program design recipes by categories of problems, and a novel programming environment explicitly designed for beginners. The environment grows withthereadersastheymasterthematerialinthebookuntilitsupportsafull-fledgedlanguageforthewhole spectrum of programming tasks.

ThebookusesatinysubsetofSchemeprogramminglanguagetodevelopprograms.(ThebookisnotaboutprogramminginScheme.)ThechoiceofSchemeisnaturalasbeginnerscanremainfocusedontheessenceof programming and still develop complete programs using just the core of this language.

Contents: List of Figures. Preface. i proCessing simple forms of Data—Students, Teachers, andComputers. Numbers, Expressions, Simple Programs. Programs are Function Plus Variable Definitions.Conditional Expressions and Functions. Symbolic Information. Compound Data, Part 1: Structures. TheVarieties of Data. Intermezzo 1: Syntax and Semantics. ii proCessing arBitrarily large Data—CompoundData,Part2:Lists.MoreonProcessingLists.NaturalNumbers.ComposingFunctions,RevisitedAgain. Intermezzo 2: List Abbreviations. iii more on proCessing arBitrarily large Data—More Self-Referential Data Definitions. Mutually Referential Data Definitions. Development through IterativeRefinement. Processing Two Complex Pieces of Data. Intermezzo 3: Local Definitions and Lexical Scope.iv aBstraCting Designs—Similarities in Definitions. Functions are Values. Designing Abstractionsfrom Examples. Designing Abstractions with First-Class Functions. Mathematical Examples. Intermezzo4: Defining Functions on the Fly. v generative reCursion—A New Form of Recursion. DesigningAlgorithms. Variations on a Theme. Algorithms that Backtrack. Intermezzo 5: The Cost of Computing and Vectors. vi aCCumulating knoWleDge—TheLossofKnowledge.DesigningAccumulator-StyleFunctions.MoreUsesofAccumulation.Intermezzo6:TheNatureofInexactNumbers.vii Changing the state of variaBles—MemoryforFunctions.AssignmenttoVariables.DesigningFunctionswithMemory.ExamplesofMemoryUsage.Intermezzo7:TheFinalSyntaxandSemantics.viii Changing CompounD values—Encapsulation. Mutable Structures. Designing Functions that Change Structures. Equality. ChangingStructures,Vectors,andObjects.Epilogue.Index.

hoW to Design programsan introduction to programming and Computing

matthias felleisen, Professor of Computer Science, Rice University.roBert BruCe finDler, candidate in Computer Science, Rice University.mattheW flatt, Assistant Professor, School of Computing, University of Utah.shriram krishnamurthi, Assistant Professor of Computer ScienceBrown University.

724 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2461-9 / ` 375.00


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This book attempts to cover all that is needed to program an artificially intelligent robot for applications involving sensing, navigation, planning, and uncertainty.

In the overview at the beginning of each chapter, the author touches upon anthropomorphic robots from classic films and science fiction stories before delving into the nuts and bolts of organizing intelligence in robots.

The book is divided into two parts—Part I: Robotic Paradigms and Part II: Navigation—Part I definesintelligent robots and introduces why artificial intelligence is needed. It covers the ‘theory’ of AI robotics, taking the reader through a historical journey from theHierarchical to theHybridDeliberative/ReactiveParadigm for organizing intelligence, besides focusing on Reactive Paradigm and behaviours, techniquesfor reactive behaviours, and coordination and control of teams of multi-agents. Part II devotes threechapters to qualitative and metric navigation with path planning techniques, and work in uncertainty management.

Pedagogical features such as chapter-end summaries, exercises, photographs and diagrams, and theextensive Bibliography at the end of the book would considerably enhance the value of this well-researched text. Intended as a text for students of mechanical engineering, the book should also be useful to students of computer science and professionals interested in programming artificially intelligent robots for various applications.

Key Features• Combinestheoreticalandpracticalrigourwithalightnarrativetouch.

• Eachchapterincludesobjectives,reviewquestions,andexercises.

• ProvidesCaseStudiesthatshowhowconceptscouldbeimplementedonrealrobots.

Contents: Preface. i: roBotiC paraDigms—From Teleoperation to Autonomy. The HierarchicalParadigm.BiologicalFoundationsoftheReactiveParadigm.TheReactiveParadigm.DesigningaReactiveImplementation. Common Sensing Techniques for Reactive Robots. The Hybrid Deliberative/ReactiveParadigm.Multi-agents. ii: navigation—Topological Path Planning.Metric Path Planning. LocalizationandMapMaking.OntheHorizon.Bibliography.Index.

introDuCtion to ai roBotiCs

roBin r. murphy, Associate Professor of Computer Science and Engineering, University of South Florida, Tampa.

488 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2458-9 / ` 325.00


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This internationally acclaimed textbook provides a comprehensive introduction to the modern study of computer algorithms. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and presents an algorithm, a design technique, an application area, or a related topic. The algorithms are described and designed in a manner to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, and substantial additions to the chapter on recurrences (now called “Divide-and-Conquer”). It features improved treatment of dynamic programmingandgreedyalgorithmsandanewnotionofedge-basedflowinthematerialonflownetworks.Manynewexercises and problems have been added in this edition.

The text is intended primarily for students studying algorithms or data structures. As it discusses engineering issues in algorithm design, as well as mathematical aspects, it is equally well suited for self-study by technical professionals.

“Introduction to Algorithms, the ‘bible’ of the field, is a comprehensive textbook covering the full spectrum of modern algorithms: from the fastest algorithms and data structures to polynomial-time algorithms for seemingly intractable problems, from classical algorithms in graph theory to special algorithms for string matching, computational geometry, and number theory. The revised third edition notably adds a chapter on van Emde Boas trees, one of the most useful data structures, and on multithreaded algorithms, a topic of increasing importance.”

—DaNiel spielMaN

DepartmentofComputerScience,YaleUniversity

Contents: Preface. i: founDations—Introduction. The Role of Algorithms in Computing. GettingStarted. Growth of Functions. Divide-and-Conquer. Probabilistic Analysis and Randomized Algorithms. ii: sorting anD orDer statistiCs—Introduction.Heapsort.Quicksort.SortinginLinearTime.Mediansand Order Statistics. iii: Data struCtures—Introduction. Elementary Data Structures. Hash Tables.BinarySearchTrees.Red-BlackTrees.AugmentingDataStructures.iv: aDvanCeD Design anD analysis teChniques—Introduction.DynamicProgramming.GreedyAlgorithms.AmortizedAnalysis.v: aDvanCeD Data struCtures—Introduction. B-Trees. Fibonacci Heaps. Van Emde Boas Trees. Data Structures forDisjoint Sets.vi: graph algorithms—Introduction. Elementary GraphAlgorithms.Minimum SpanningTrees. Single-Source Shortest Paths. All-Pairs Shortest Paths. Maximum Flow. vii: seleCteD topiCs—Introduction.MultithreadedAlgorithms.MatrixOperations.LinearProgramming.PolynomialsandtheFFT.Number-TheoreticAlgorithms.StringMatching.ComputationalGeometry.NP-Completeness.ApproximationAlgorithms. viii: appendix—MATHEMATICAL BACKGROUND—Introduction. A: Summations. B: Sets, etc. C:CountingandProbability.D:Matrices.Bibliography.Index.

introDuCtion to algorithms, 3rd ed.thomas h. Cormen, Professor of Computer Science & former Director, Institute for Writing and Rhetoric at Dartmouth College.Charles e. leiserson, Professor of Computer Science and Engineering at Massachusetts Institute of Technology.ronalD l. rivest, Andrew and Erna Viterbi Professor, Electrical Engineering and Computer Science at Massachusetts Institute of Technology.ClifforD stein, Professor, Industrial Engineering & Operations Research at Columbia University.

1312 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4007-7 / ` 475.00


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The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. In order to present a unified treatment of machine learning problems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program.

The new edition incorporates three topics—namely, kernelmethods, Bayesian estimation, and graphicalmodels in detail. A chapter on statistical test is rewritten as one that includes the design and analysis of machine learning.

The book is intended for senior graduate and postgraduate level courses on machine learning. It should also be of great interest to engineers working in the field concerned with the application of machine learning methods.

“This volume offers a very accessible introduction to the field of machine learning. Ethem Alpaydin gives a comprehensive exposition of the kinds of modeling and prediction problems addressed by machine learning, as well as an overview of the most common families of paradigms, algorithms, and techniques in the field. The volume will be particularly useful to the newcomer eager to quickly get a grasp of the elements that compose this relatively new and rapidly evolving field.”

— Joaquin quiñonero-CanDela, Coeditor,DatasetShiftinMachineLearning

Contents: Introduction. Supervised Learning. Bayesian Decision Theory. Parametric Methods. Multivariate Methods. Dimensionality Reduction. Clustering. Nonparametric Methods. Decision Trees. Linear Discrimination. Multilayer Perceptrons. Local Models. Kernel Machines. Bayesian Estimation. HiddenMarkovModels.GraphicalModels.CombiningMultipleLearners.ReinforcementLearning.DesignandAnalysisofMachineLearningExperimentsA.Probability.

introDuCtion to maChine learning 2nd ed.

ethem alpayDin, Professor in the Department of Computer Engineering at Bogazici University, Istanbul.

580 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4160-9 / ` 525.00


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The Internet gives us access to a wealth of information in languages we don’t understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how machine learning techniques can improve statistical machine translation, currently at the forefront of research in the field.

The book looks first at enabling technologies—technologies that solve problems that are not machinetranslation proper but are linked closely to the development of a machine translation system. The book then presents new or improved statistical machine translation techniques.

Contents: SeriesForeword.Preface.AStatisticalMachineTranslationPrimer.i: enabling technologies—MiningPatentsforParallelCorpora.AutomaticConstructionofMultilingualNameDictionaries.NamedEntityTransliterationandDiscoveryinMultilingualCorpora.CombinationofStatisticalWordAlignmentsBasedonMultiplePreprocessingSchemes.LinguisticallyEnrichedWord-SequenceKernelsforDiscriminativeLanguageModeling. ii: machine translation—TowardPurelyDiscriminativeTrainingforTree-StructuredTranslationModels. Reranking for Large-Scale Statistical Machine Translation. Kernel-Based Machine Translation.StatisticalMachineTranslation throughGlobalLexicalSelection.DiscriminativePhraseSelection forSMT.Semisupervised Learning for Machine Translation. Learning to Combine Machine Translation Systems.References.Contributors.Index.

learning maChine translation

Edited by:Cyril goutte is a researcher in the Interactive Language Technologies Group at the Canadian National Research Council’s Institute for Information Technology.niCola CanCeDDa is a researcher in the Cross-Language Technologies Research Group at the Xerox Research Centre Europe.marC Dymetman is a researcher in the Cross-Language Technologies Research Group at the Xerox Research Centre Europe.george foster is a researcher in the Interactive Language Technologies Group at the Canadian National Research Council’s Institute for Information Technology.

328 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4055-8 / ` 325.00

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An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks both from a broad neuroscience and cognitive science perspective, with an increased emphasis on the biology and psychology governing the assumptions of the models as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author’s own ideas.

Key Features• Emphasizesnotsomuchtheformalanalysisofnetworkalgorithmsastheuseofalgorithms.

• Devotes some effort to describe the biological representation of data by giving several examples ofbiological and cognitive computation using neural networks.

• The beginning of the book contains programs for some computer modeling experiments to enablestudents to play with algorithms and theories.

• Providesfragmentsofcode,usefulPascalproceduresandfunctions,anddescribesresultsfromnetworkmodeling programs, throughout the text.

• The afterword tells how to obtain the complete programs, datasets and further details about theoperation and design of the programs.

Contents: Introduction.Acknowledgments.PropertiesofSingleNeurons.SynapticIntegrationandNeuronModels.EssentialVectorOperations.LateralInhibitionandSensoryProcessing.SimpleMatrixOperations.The Linear Associator: Background and Foundations. The Linear Associator: Simulations. Early NetworkModels: The Perceptron. Gradient Descent Algorithms. Representation of Information. Applications ofSimpleAssociators:ConceptsFormationandObjectMotion.EnergyandNeuralNetworks:HopfieldNetworksandBoltzmannMachines. NearestNeighborModels.Adaptivemaps.TheBSBModel:ASimpleNonlinearAutoassociative Neural Network. Associative Computation. Teaching Arithmetic to a Neural Network. Afterword. Index.

introDuCtion to neural netWorks, an

James a. anDerson

668 pp. / 20.0 × 25.0 cm / IsBN-978-81-203-1351-4 / ` 495.00


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It has been widely reported that IT project failure is overwhelmingly traceable to poorly defined project organization, a lack of training, weak executive support, inconsistent methods and policies, and other readily addressed factors. More than half of all IT projects overrun their budgets, schedules, or both by atleast200percent.

This book provides systems project managers with field - proven tools and step-by-step methodologies to startandcompleteeveryproject—hardware,software,orintegration—withinprescribedparameters.Withthe project management methodology presented in this book and its focus on the practical applications, the IT managers can make every project run smoothly, efficiently and profitably.

Coverage includes:

q Organizinginformationtechnologyprojectteamsanddevelopingprojectplansq RiskmanagementissuesforITprojectsq Systemsengineeringq Customer requirements and serviceq Projectmonitoring,control,closeoutandassessment

Contents: Acknowledgments. Introduction. The Foundations of Project Management. InformationTechnology Project and Systems Life Cycles: Project Management and Team Activities. Identifying andDevelopingCustomerRequirements.OrganizingtheProjectTeam.DevelopingtheInformationTechnologyProject Plan. Risk Management in Information Technology Projects. Systems Engineering: The Hub ofProject Management. Project Monitoring and Control. Rapid Development in IT Projects. Principles ofProjectCloseout.CustomerService—FinishingProject.Index.

managing information teChnology proJeCtsApplyingProjectManagementStrategiestoSoftware, Hardware,andIntegrationInitiatives

James taylor is a PMI® certified project manager with more than 30 years’ experience in projects and program management in both the public and private sectors.

288 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-4302-3 / ` 275.00

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The rapid growth and integration of databases provides scientists, engineers, and business people with a vast new resource that can be analyzed to make scientific discoveries, optimize industrial systems, and uncover financially valuable patterns. To undertake these large data mining projects, researchers and practitioners have adopted established algorithms from statistics, machine learning, neural networks, and databases and have also developed new methods targeted at large data mining problems.

Principles of Data Mining with its unique blend of inputs from information science, computer science, and statistics provides practitioners and students with an introduction to the wide range of algorithms and methodologies in this exciting area.

Key Features• Givesanoverviewbasedonintuition,stressingontheprinciplesunderlyingdataminingalgorithmsand

their application.

• Showshowalgorithmsareconstructedtosolvespecificproblemssystematically.

• Emphasizesonhowanalysisfitstogetherwhenappliedtoreal-worlddataminingproblems.

This book is a must read for one who wants to know how to store, access, model and finally describe and understand large data sets.

Contents: ListofTables.ListofFigures.SeriesForeword.Preface.Introduction.MeasurementandData.Visualizing and Exploring Data. Data Analysis and Uncertainty. A Systematic Overview of Data MiningAlgorithms. Models and Patterns. Score Functions for Data Mining Algorithms. Search and OptimizationMethods.DescriptiveModeling.PredictiveModelingforClassification.PredictiveModelingforRegression.Data Organization and Databases. Finding Patterns and Rules. Retrieval by Content. Appendix: RandomVariables.References.Index.

prinCiples of Data mining

DaviD hanD, Imperial College, London.heikki mannila, Helsinki University of Technology.paDhraiC smyth, University of California at Irvine.

580 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2457-2 / ` 375.00


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This book by distinguished researchers in Robotics reveals the great advances that have taken place in the last ten years in robot motion planning including sensor-based planning, probabilistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical under-pinnings of robot motion accessible to students of computer science and engineering, relating low-level implementation details to high-level algorithmic concepts. It is aimed at advanced undergraduate or new graduate students interested in robot motion.

“Although journal and conference papers in motion planning have proliferated, there has not been any comprehensive reference text in more than a decade. This book fills this gap in outstanding fashion. It covers both the early foundations of the field and the recent theoretical and practical progress that has been made…”

—FromtheForewordbyJean-ClaudeLatombe

Contents: Foreword. Preface. Acknowledgments. Introduction. Bug Algorithms. Configuration Space.Potential Functions. Roadmaps. Cell Decompositions. Sampling-Based Algorithms. Kalman Filtering.Bayesian Methods. Robot Dynamics. Trajectory Planning. Nonholonomic and Underactuated Systems. A: Mathematical Notation. B: Basic Set Definitions. C: Topology and Metric Spaces. D: Curve Tracing. E: Representations of Orientation. F: Polyhedral Robots in PolyhedralWorlds. G: Analysis of AlgorithmsandComplexityClasses.H:GraphRepresentationandBasicSearch.I:StatisticsPrimer.J:LinearSystems and Control. Bibliography. Index.

prinCiples of roBot motion theory, algorithms, and implementations

hoWie Choset, Associate Professor in the Mechanical Engineering Department, Robotics Institute, Carnegie Mellon University.kevin m. lynCh, Associate Professor in the Mechanical Engineering Department, Northwestern University.seth hutChinson, Professor, Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign.george kantor, Project Scientist, Center for the Foundations of Robotics, Robotics Institute, Carnegie Mellon University.Wolfram BurgarD, Associate Professor and Head of the Autonomous Intelligent Systems Research Lab, Department of Computer Science, University of Freiburg.lyDia e. kavraki, Professor of Computer Science and Bioengineering, Rice University.seBastian thrun, Associate Professor, Computer Science Department, Stanford University and Director, Stanford’s AI Lab.

628 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2884-6 / ` 425.00


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Real-timesystemsandnetworksareof increasing importance inmanyapplications, includingautomatedfactories, telecommunication systems, defence systems, and space systems. The book introduces the concepts, and state-of-the-art research developments of resource management in real time systems and networks.Unlikeothertextsinthefield,itcoverstheentirespectrumofissuesinresourcemanagement,including task scheduling in uniprocessor real-time systems; task scheduling, fault-tolerant task scheduling, and resource reclaiming in multiprocessor real-time systems, conventional task scheduling and object-basedtaskschedulingindistributedreal-timesystems;andmessagescheduling,QoSrouting,dependablecommunication, multicast communication, and medium access protocols in real-time networks. It provides algorithmic treatment for all of the issues addressed, highlighting the intuition behind each alogrithm and giving examples. It also includes two chapters on case studies.

The book intends to have interests of students of computer science and engineering and of professionals and researchers in the field.

Contents: Preface. Introduction.TaskSchedulinginMultiprocessorReal-TimeSystems.ResourceReclaiminginMultiprocessorReal-TimeSystems.Fault-TolerantTaskScheduling inMultiprocessorReal-TimeSystems.ResourceManagement inDistributedReal-TimeSystems.SchedulingofObject-BasedTasks inDistributedReal-TimeSystems.Real-TimeCommunication inWideAreaNetworks.RouteSelection inReal-TimeWideAreaNetworks.MulticastinginReal-TimeNetworks.Real-TimeCommunicationinMultipleAccessNetworks. CaseStudy—DistributedAirDefenseSystem. CaseStudy—AirTrafficControlSystem. References.Acronyms.Index.

resourCe management in real-time systems anD netWorks

C. siva ram murthy is Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Madras, India.g. manimaran is Assistant Professor in the Department of Electrical and Computer Engineering at IOWA State University.

464 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2682-8 / ` 425.00


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ThisbookisintendedtoprovideanintroductiontotheSchemeProgrammingLanguageinaclearandconcisemanner.Schemeisageneralpurpose,highlevelprogramminglanguage,supportingoperationsonstructuraldatasuchasstrings,lists and vectors, as well as operations on more traditional data such as numbers and characters. It is fairly a simple language to learn and a truly versatile language that has been employed to write text editors, optimizing compilers, operating systems, graphics packages, expert systems, numerical applications, financial analysis packages, virtual reality systems and practically every other type of application imaginable.

Written forprofessionalsandstudentswith somepriorprogrammingexperience, itbeginsby leading theprogrammergentlythroughthebasicsofSchemeandcontinueswithanintroductiontosomeofthemoreadvancedfeaturesofthelanguage.

The fourth edition stands substantially revised to bring the content up-to-date with the current Scheme standard (http://www.rbrs.org/). This book is not intended to supplant the current standard but rather to provide morecomprehensive introduction and reference manual for the language with additional explanatory text and a large number ofexamplesspreadthroughoutthetext.Oneentirechapterisdedicatedtothepresentationofasetoflongerexamples.

Answers tomanyof the exercises, a complete formal syntaxof the Scheme, anda summaryof forms andproceduresare provided in appendices.

“This fourth edition builds on the strengths of the previous editions and provides a comprehensive, no-nonsense introduction to the Scheme programming language in its latest form. The combination of solidity and finesse displayed in this book makes it a reference text for educated computer scientists. The accompanying software, Petite Chez Scheme, makes it the ideal starting point for any programmer who wants to extend his or her repertoire with Scheme.”

— olivier Danvy,AarhusUniversity,DenmarkCoeditor-in-ChiefofHigher-OrderandSymbolicComputation

“Kent Dybvig’s The Scheme Programming Language is to Scheme what Kernighan and Ritchie’s The C Programming Language is to C. Dybvig’s book is the book for either the novice or serious Scheme programmer. Its style, wit, and organization has reached a new high with the publication of the fourth edition.”

— Daniel p. frieDman,DepartmentofComputerScience,IndianaUniversity

“Students in my Programming Language Concepts class need to learn the basics of Scheme in a few days, and to pick up harder concepts throughout the course. For nineteen years, The Scheme Programming Language has been an excellent guide for them. Dybvig’s rapid-fire prose and examples serve both the Scheme beginner and the experienced programmer in need of a reference. Seldom do my students make a point of praising a computer science textbook; that happens over and over with this one.”

— ClauDe W. anDerson,Rose-HulmanInstituteofTechnology

Contents: Preface.Introduction.GettingStarted.GoingFurther.ProceduresandVariablesBindings.ControlOperations.Operations onObjects. Input andOutput. Syntactic Extension. Records. Libraries and Top-Level Programs. ExceptionsandConditions.ExtendedExamples.References.AnswerstoSelectedExercises.FormalSyntax.SummaryofForms.Index.

sCheme programming language, the 4th ed.

r. kent DyBvig is Professor of Computer Science at Indiana University and principal developer of Chez Scheme.

504 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4300-9 / ` 395.00

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This text is the first comprehensive presentation of reduction semantics in one volume; it also introduces the first reliable and easy-to-use tool set for such forms of semantics. The book comes with a prototyping toolsuitetodevelop,explore,test,debug,andpublishsemanticmodelsofprogramminglanguages.WithPLTRedex,semanticistscanformulatemodelsasgrammarsandreductionmodelsontheircomputerwiththe ease of paper and pencil.

The text first presents a framework for the formulation of language models, focusing on equational calculi and abstract machines, and then introduces PLT Redex, a suite of software tools for expressing thesemodelsasPLTRedexmodels.

PLT Redex comes with the PLT Scheme implementation, available free at http://www.plt-scheme.org/.ReaderscandownloadthesoftwareandexperimentwithRedexastheyworktheirwaythroughthebook.

Thisbookisusefulfortheworkingsemanticsengineer(graduatestudentorprofessionallanguagedesigner).

“Courses on semantics can easily become as dry as dust; in contrast, this book is nothing short of revolutionary. The first part is a very clear explanation of the basic concepts in programming language semantics, starting with abstract models and moving to progressively more concrete ones. However, the book really comes alive in the second part, where the authors use the PLT Redex language that they have developed to interactively explore language semantics in the same way that DrScheme allows the interactive exploration of programs. I believe that this approach will become the standards way of doing semantics research in the future, and there is no better way to take advantage of it than to read this book.”

— michael vanier, DepartmentofComputerScience,Caltech

Contents: Preface. i: reduction semantics—Semantics via Syntax. Analyzing SyntacticSemantics. The l-Calculus. ISWIM. An Abstract Syntax Machine. Abstract Register Machines. TailCalls and More Space Savings. Control: Errors, Exceptions, and Continuations. State: ImperativeAssignment. Simply Typed ISWIM. ii: plt redex—The Basics. Variables and Meta-functions. Layered Development. Testing. Debugging. Case Study. 1: Order of Evaluation. Case Study 2: Continuations as Values. Typesetting. A: Appendix: A Tour of DrScheme. iii: applications— Modular ACL2—Carl Eastlund, Northeastern University. Modeling Scheme Macros—Martin Gasbichler,Zühlke Engineering AG. A Model of Java/Scheme Interoperability—Kathryn E. Gray, University of Utah. ImplementingHiddenTypeVariablesinFortress—JoeHallett,BostonUniversityEricAllen,SunMicrosystems,Inc. Sukyoung Ryu, Sun Microsystems, Inc.. Type Checking and Inference via Reductions—George Kuan,University of Chicago. Topsl: DSEL as Multi-language System—Jacob Matthews, University of Chicago. PrototypingNestedSchedulers—MikeRainey,UniversityofChicago.Bibliography.Index

semantiCs engineering With plt reDex

matthias felleisen is Trustee Professor of Computer Science at Northeastern University.roBert BruCe finDler is Assistant Professor of Computer Science at Northwestern University.mattheW flatt is Associate Professor of Computer Science at the University of Utah.

516 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4320-7 / ` 475.00


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ThedevelopmentoftheSemanticWeb,withmachine-readablecontent,hasthepotentialtorevolutionizetheWorldWideWebanditsuses.A Semantic Web Primer provides an introduction and guide to this still emergingfield,describingitskeyideas,languages,andtechnologies.Suitableforuseasatextbookorforself-study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own and includes exercises, project descriptions, and annotated references to relevant online materials.

The text provides a systematic treatment of the different languages (XML, RDF, OWL, and rules) andtechnologies (explicit metadata, ontologies, and logic and inference) that are central to Semantic Webdevelopment as well as such crucial related topics as ontology engineering and application scenarios.

“This book is essential reading for anyone who wishes to learn about the Semantic Web. By gathering the fundamental topics into a single volume, it spares the novice from having to read a dozen dense technical specifications. I have used the first edition in my Semantic Web course with much success.”

—Jeff HefliN,AssociateProfessor DepartmentofComputerScienceandEngineering,

LehighUniversity

“This book provides a solid overview of the various core subjects that constitute the rapidly evolving Semantic Web discipline. While keeping most of the core concepts as presented in the first edition, the second edition contains valuable language updates, such as coverage of SPARQL, OWL DLP, SWRL, and OWL-S. The book truly provides a comprehensive view of the Semantic Web discipline and has all the ingredients that will help an instructor in planning, designing, and delivering the lectures for a graduate course on the subject.”

—isaBel cruz,DepartmentofComputerScience,UniversityofIllinois,Chicago

Contents: ListofFigures.SeriesForeword.Preface.TheSemanticWebVision.StructuredWebDocuments:XML.DescribingWebResources:RDF.WebOntologyLanguage:OWL.LogicandInference:Rules.Applications.OntologyEngineering.ConclusionandOutlook.A:AbstractOWLSyntax.Index.

semantiC WeB primer, a, 2nd ed.

grigoris antoniou is Professor at the Institute for Computer Science, FORTH (Foundation for Research and Technology-Hellas), Heraklion, Greece.

frank van harmelen is Professor in the Department of Artificial Intelligence at the Vrije University, Amsterdam, Netherlands.

288 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4054-1 / ` 325.00

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SimpleGeneticAlgorithms(SGAs)areusedinscienceandengineeringasadaptivealgorithmsforsolvingpractical problems and as computational models of natural evolutionary systems.

ThebookfocusesonSimpleGeneticAlgorithmasanevolutionarysystem,enablingthereadertobegoal-oriented while exploring topics in mathematics and computer science. The primary aim of this text is to provide an introduction to what is known (and proven) about the theory of Simple Genetic Algorithm. The rigor of mathematics is employed so as to not to inadvertently repeat myths or recount folklore. The second objective is to make available algorithms for the computation of mathematical objects related to SGA.

The text stresses on theoretical foundations upon which provable results about SGA behaviour can bebased.

Key Features• Systematicpresentationoftheorems

• Exercisesineverychapter

• Ampleillustrationsanddiagramstoaidcomprehension

Contents: Preface. Acknowledgments. Introduction. Notation. Random Heuristic Search. The SimpleGeneticAlgorithm.Implementation.TheWalshTransform.ComputingwiththeHeuristic.BasicExamples.The Inverse Heuristic. Focused Heuristics. Linear Fitness. Perturbation Arguments. Transient Behavior.AsymptoticBehavior.Hyperbolicity.GeometricInvariance.Quotients.Models.Schemata.Appendix.TheoremIndex.SymbolIndex.Index.

simple genetiC algorithm, the foundations and theory

miChael D. vose, University of Tennessee, Knoxville.

268 pp. / 16.0 × 24.1 cm / IsBN-978-81-203-2459-6 / ` 225.00


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Anysystembuildonflawedconceptsmakesitclumsyandhardtomakeevensimplestofchangestorepairthedamagedone.Theauthorbeginsthebookwiththestatement“Softwareisbuiltonabstractions.Picktherightonesandprogrammingwillflowfromdesign;moduleswillhavesmallandsimpleinterfaces;andnew functionality will more likely fit in without extensive organization.”

Basically, an abstraction is an idea reduced to its essential form. The author introduces the key elements of the approach: a logic, which provides the building blocks of the language; a language, which adds a small amount of syntax to the logic for structuring descriptions; and an analysis, which is a form of constraint solving, and it offers both simulation (generating sample states and executions) and checking (findingcounterexamples to claimedproperties). The author uses the languageAlloy as a vehicle because of itssimplicity and tool support; but the book’s lessons are mostly language-independent, and could also be applied in the context of other modeling languages.

“Abstraction is the essence of simple and effective software design, and logic is the essential tool for exploring and validating abstractions. These basic insights, which have been laboriously rediscovered by many practicing programmers, are now accessible to students and professionals at all levels of experience. Daniel Jackson supports his clear and elegant text with a powerful logical analysis tool that brings his witty examples to life.”

—toNy Hoare,SeniorResearcher,Microsoft

Contents: Preface. Acknowledgments.Introduction.AWhirlwindTour.Logic.Language.Analysis.Examples.Appendices—A: Exercises. B: Alloy Language Reference. C: Kernel Semantics. D: Diagrammatic Notation. E:AlternativeApproaches.References.Index.

softWare aBstraCtions logic, language, and analysis

Daniel JaCkson, Professor, Department of Electrical Engineering and Computer Science and leads the Software Design Group at the Computer Science and Artificial Intelligence Lab at MIT.

368 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-3170-9 / ` 325.00


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Automata have existed for centuries, it is only recently that anything resembling autonomous agents has begun to appear. The agents now being deployed differ in important ways from earlier concepts, for today the momentum has shifted from hardware to software, from the atoms that comprise a mechanical robot to the bits that make up a digital agent. These software agents function continuously and autonomously in a particular environment that is often inhabited by other agents and processes.

The essays in this book, by leading researchers and developers of agent-based systems, address both the state-of-the-art of agent technology and its likely evolution in the near future.

Contents: Preface. Introduction. section one: agents and the user experience—HowMight PeopleInteractwithAgents.Agents: FromDirectManipulation toDelegation. InterfaceAgents:MetaphorswithCharacter.DesigningAgentsasifPeopleMattered.DirectManipulationVersusAgents:PathstoPredictable,Controllable, and Comprehensible Interfaces. section two: agents for learning and intelligent assistance—AgentsforInformationSharingandCoordination:AHistoryandSomeReflections.AgentsthatReduce Work and Information Overload. KidSim: Programming Agents without a Programming Language.LifelikeComputerCharacters:ThePersonaProjectatMicrosoftResearch.SoftwareAgents forCooperativeLearning.M:AnArchitectureofIntegratedAgents.section three: agent Communication, Collaboration, and mobility—AnOverviewofAgent-OrientedProgramming.KQMLasanAgentCommunicationLanguage.An Agent-Based Framework for Interoperability. Agents for Information Gathering. KAoS: Toward anIndustrial-StrengthOpenAgentArchitecture.CommunicativeActions forArtificialAgents.MobileAgents.Index.

.

softWare agents

Jeffrey m. BraDshaW (ed.), leads the agent technology efforts for The Boeing Company and the Fred Hutchinson Cancer Research Center in Seattle, Washington.

492 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-4135-7 / ` 425.00


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This book which is a self-contained course on server-based Internet applications software, enables students tobuildWeb-basedapplicationsonthescaleofamazon.com.Unlikethedesktopapplicationsthatmoststudents have already learned to build, server-based applications have multiple simultaneous users.

With this book, studentswill have the skills to take vague and ambitious specifications and turn theminto a system design that can be built and launched in a few months. They will be able to test prototypes with end-users and refine the application design. They will understand how to meet the challenge of extreme business requirements with automatic code generation and the use of open-source toolkits where appropriate.StudentswillunderstandHTTP,HTML,SQL,mobilebrowsers,VoiceXML,datamodeling,pageflowandinteractiondesign,server-sidescripting,andusabilityanalysis.

The book is suitable for classroom use and will be a useful reference for software professionals developing multi-user Internet applications. It will also help managers evaluate such commercial software as Microsoft SharepointofMicrosoftContentManagementServer.

Contents: Preface. Acknowledgments.Introduction.Basics.Planning.SoftwareStructure.UserRegistrationand Management. Content Management. Software Modularity. Discussion. Adding Mobile Users to YourCommunity. Voice (VoiceXML). Scaling Gracefully. Search. Planning Redux. Distributed Computing withHTTP,XML,SOAP,andWSDL.Metadata (andAutomaticCodeGeneration.UserActivityAnalysis.Writeup.ReferenceChapters.a.HTML.B. Engagement Management by Cesar Brea. C.GradingStandardsGlossary.TotheInstructor.SampleContract(betweenStudentTeamandClient).AbouttheAuthors.Index.

softWare engineering for internet appliCationeve anDersson, Senior Vice President and Chair of the Bachelor of Science in Computer Science at Neumont University, Salt Lake City.philip greenspun, a software developer, author, teacher, pilot, and photographer, originated the Software Engineering for Internet Applications course at MIT.anDreW grumet, Independent Software Developer.

412 pp. / 17.8 × 23.5 cm / IsBN-81-203-3041-2 / ` 295.00


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Researchinsystemsbiologyrequiresthecollaborationofresearchersfromdiversebackgrounds,includingbiology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines.

This book is a comprehensive introduction and overview of system modeling in biology. It makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds. The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview, and this book fills that gap.

This is perhaps the first book to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, which includes:

• Theconceptsofrobustnessandmodularityandtheirexploitationtostudybiologicalsystems

• Thebest-knownmodelingapproaches,andtheiradvantagesanddisadvantages

• Lessonsfromtheapplicationofmathematicalmodelstothestudyofcellularbiology,and

• Availablemodelingtoolsanddatasets,alongwiththeircomputationallimitations.

Contents: Preface. i: general ConCepts—The Role of Modeling in Systems Biology. Complexity andRobustness of Cellular Systems. On Modules and Modularity. ii: moDeling approaChes—Bayesian Inference of Biological Systems: The Logic of Biology. Stoichiometric and Constraint-based Modeling.Modeling Molecular Interaction Networks with Nonlinear Ordinary Differential Equations. QualitativeApproachestotheAnalysisofGeneticRegulatoryNetworks.StochasticModelingofIntracellularKinetics.KineticsinSpatiallyExtendedSystems.iii: moDels anD reality—BiologicalDataAcquisitionforSystemLevel Modeling—An Exercise in the Art of Compromise. Methods to Identify Cellular Architecture andDynamicsfromExperimentalData.UsingControlTheorytoStudyBiology.SyntheticGeneRegulatorySystems.MultilevelModeling in SystemsBiology: FromCells toWholeOrgans. iv: Computational moDeling—ComputationalConstraintsonModelinginSystemsBiology.NumericalSimulationforBiochemicalKinetics.SoftwareInfrastructureforEffectiveCommunicationandReuseofComputationalModels.A—SoftwareToolsforBiologicalModeling—References.Contributors.Index.

system moDeling in Cellular Biology from Concepts to nuts and Bolts

Edited by:zoltan szallasi, Jörg stelling and vipul periWal

464 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3172-3 / ` 450.00


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This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance.

The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses matlab to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.

“One of this book’s many strengths is its structure, the way theory-based chapters alternate with analytical ones. This will make it an invaluable resource in the classroom.”

—thomas J. sargent,DepartmentofEconomics,NewYorkUniversity, andHooverInstitution,StanfordUniversity

“This book ties together numerical methods with state-of-the-art mathematical tools in a user-friendly way. It should be part of the program in ‘math camps’ for incoming graduate students in economics and finance. The matlab programs are a very useful resource for anyone doing applied research.”

—paul D. mCnelis,ProfessorofEconomics,GeorgetownUniversity

Contents: Preface. Introduction. Linear Equations and Computer Basics. Nonlinear Equations andComplementarity Problems. Finite-Dimensional Optimization. Numerical Integration and Differentiation.Function Approximation. Discrete Time, Discrete State Dynamic Models. Discrete Time, Continuous StateDynamic Models: Theory and Examples. Discrete Time, Continuous State Dynamic Models: Methods.Continuous TimeModels: Theory and Examples. Continuous TimeModels: SolutionMethods. Appendix A:Mathematical Background. Appendix B: A MatlabPrimer.References.Index.

applieD Computational eConomiCs anD finanCe

mario J. miranDa is Professor and Chair of Graduate Studies, Department of Agricultural, Environmental, and Development Economics, Ohio State University.paul l. faCkler is Associate Professor, Department of Agricultural and Resource Economics, North Carolina State University.

528 pp. / 17.8 × 23.5 cm / isBn-978-81-203-3934-7 / ` 495.00

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This second edition of the text offers an approach to understanding different economic systems that reflectsbothrecenttransformationsintheworldeconomyandrecentchangesinthefieldofComparativeEconomicSystems.

Besides providing a complete theoretical and historical overview, the text focuses on fifteen country studies,organizedbyeconomicsystems—AdvancedMarketCapitalismofUSA,Japan,France,SwedenandGermany;TransitioninformersocialisteconomiesofRussia,Poland,Hungry,YugoslaviaandChina.

Thebookalsodiscusses“alternativepaths”takenbythedevelopingeconomiesofIran,India(itscomplexmix of socialism, capitalism, and tradition is examined in a chapter new to this edition),Mexico, andSouth and North Korea. It also casts a look at future trends that will continue to transform the worldeconomy.

“With the collapse of communism, economics has struggled to redefine itself and find a new direction. In this book the Rossers push for an economics that is exceedingly relevant for understanding the ongoing changes in the global economy. They weave together theory and history to explain socialism’s origins, inner workings, collapse, and transformation, as well as alternative paths in Western Europe and Asia. I highly recommend this book for undergraduate and graduate courses in comparative economic systems and political economy.”

—peter J. Boettke, Deputy Director, JamesM.BuchananCenterforPoliticalEconomy,GeorgeMasonUniversity

Contents: Preface. i: overvieW of Comparative eConomiCs—HowDoWe Compare Economies? TheTheory and Practice of Market Capitalism. The Theory and History of Marxism and Socialism. IslamicEconomics and the Economics of Other Religions. ii: varieties of aDvanCeD market Capitalism—The United States of America: The Market Capitalist Leader. Japan: A Planned Market Economy withTraditionalElements.Whither IndicativePlanning?TheCaseofFrance.Sweden:CrisisandReformof theSocialMarketWelfareState.TheUnificationofGermanyandtheUnificationofEurope.iii: variants of transition among former soCialist eConomies—The Former Soviet Union: The Myth and RealityoftheCommandEconomyandRussia’sEconomicTransition.AlternativePathsofTransitionintheFormerSovietUnion.Poland:ThePerilandPromiseofShockTherapy.Hungary:GardualismandtheFirstSuccessfulCompleted Transition? Worker-Managed Market Socialism: The Collapse of yugoslavia and the Success ofSlovenia. China’s SocialistMarket Economy: The Sleeping GiantWakes. iv: alternative paths among Developing eConomies—India: The Elephant Walks. Iran: The Struggle for a New Traditional IslamicEconomy.RevolutionandReformintheMexicanEconomy.NorthandSouthKorea:TheLingeringShadowoftheColdWar.EvolvingTrendsoftheTransformingWorldEconomy. Glossary.Index.

Comparative eConomiCs in a transforming WorlD eConomy, 2nd ed.

J. Barkley rosser, Jr., Professor of Economics, James Madison University.marina v. rosser, Professor of Economics, James Madison University.

656 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2886-0 / ` 425.00

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This modern, uptodate text provides a comprehensive coverage of growth theory and empirics in a clear, easy-to-read style. It superbly synthesizes much of the existing theoretical and empirical research on the mechanisms and determinants of economic growth and convergence.

After an introductory discussion of economic growth, the book examines neoclassical growth theories, from Solow–Swaninthe1950sandCass–Koopmansinthe1960stothemorerecentrefinements.Thisisfollowedby a discussion of extensions to the model, with detailed description of heterogeneity of households. The authors then turn their searchlight on endogenous growth theory, discussing, among other topics, models of endogenous technological progress, technological diffusion, and an endogenous determination of labour supply and population. They also explain the essentials of growth accounting and apply this framework to endogenous growth models. The final chapters give an empirical analysis of regions and empirical evidence oneconomicgrowthforabroadpanelofcountriesfrom1960to2000.

This accessible yet rigorous text, which is a beautiful blend of theory and empirical work, is intended as a text for postgraduate students of economics. It should prove equally useful to all those seriously interested in the pursuit of growth and development economics.

Contents: Preface. About the Authors. Introduction. Growth Models with Exogenous Saving Rates (theSolow–SwanModel). GrowthModelswith Consumer Optimization (the RamseyModel). Extensions of theRamseyGrowthModel.One-SectorModelsofEndogenousGrowth.Two-SectorModelsofEndogenousGrowth(withSpecialAttentiontotheRoleofHumanCapital).TechnologicalChange:ModelswithanExpandingVariety of Products. Technological Change: Schumpeterian Models of Quality Ladders. The Diffusion ofTechnology. Labor Supply and Population. Growth Accounting. Empirical Analysis of Regional Data Sets.EmpiricalAnalysisofaCrossSectionofCountries. Appendix on Mathematical Methods.References.Index.

eConomiC groWth, 2nd ed.

roBert J. Barro, Professor of Economics, Harvard University and Senior Fellow, Hoover Institution at Stanford University.xavier sala-i-martin, Professor of Economics, Columbia University.

672 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2551-7 / ` 425.00

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This comprehensive introduction to economic growth presents the main facts and puzzles about growth, proposes simple methods and models needed to explain these facts, acquaints the reader with the most recent theoretical and empirical developments, and provides tools with which to analyze policy design.

The book can be used by postgraduate students of Economics and as a reference for professional economists in government or international financial organizations.

“Aghion and Howitt’s work on growth and policy has vastly increased our understanding of endogenous incentives and supportive policies that drive growth in advanced and developing countries. In this important book, they bring their own insights and the insights of other pioneers to bear on the broader context of growth. This book is accessible, fascinating and extremely useful.”

—MicHael speNce

“Aghion and Howitt have produced a very important and thoughtful book which presents questions, models, and answers in a clear and constructive manner. They show how good theory can and should influence both understanding and policy. It will shape the way in which economists think about growth for years ahead.”

—NicHolas sterN

Contents: Preface.Introduction.part i: Basic paradigms of growth theory.NeoclassicalGrowthTheory.The AK Model. Product Variety. The Schumpeterian Model. Capital, Innovation, and Growth Accounting part ii: understanding the growth process.FinanceandGrowth.TechnologyTransferandCross-CountryConvergence.MarketSizeandDirectedTechnicalChange.General-PurposeTechnologies.StagesofGrowth.Institutions and Nonconvergence Traps part iii: growth policy.FosteringCompetitionandEntry.Investingin Education. Reducing Volatility and Risk. Liberalizing Trade. Preserving the Environment. PromotingDemocracyConclusion.LookingAhead:CultureandDevelopmentAppendix:BasicElementsofEconometricsReferences.Index.

eConomiCs of groWth, the

philippe aghion, Robert C. Waggoner Professor of Economics at Harvard University.peter hoWitt, Lyn Crost Professor of Social Sciences at Brown University.

520 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4064-0 / ` 425.00

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eConomiCs

The microfinance revolution has allowed more than 150 million poor around the world to receive small loans without collateral, build up assets, and buy insurance. This book offers an accessible and engaging analysis of the global expansion of financial markets in poor communities. It introduces readers to the key ideas driving microfinance, integrating theory with empirical data and addressing a range of issues, including savings and insurance, the role of women, impact measurement, and management incentives.

This second edition has been updated throughout to reflect the latest data, with new material oncommercialization, credit contracts, savings and insurance, gender, impact measurement, and governance. Appendixes and problem sets cover technical material.

The book is primarily meant for the undergraduate and postgraduate students of economics and public policy.Researcherspractitionersinthefieldwillalsofindthebookuseful.

“Anyone interested in the science behind microfinance must read this impressive book. It is written with experience in microfinance and deep understanding of economics.”

—MuHaMMaD yuNus,NoblePeacePriceLaureate(2006)

“An extraordinary book, inasmuch as it explains not only the underlying rationale of microfinance but, more broadly, of finance itself”

—tHoMas eastoN, Asia Business Editor, The Economist

“It is necessary to use critical economic reasoning to understand why the [microfinance ] movement is such a success… This book is splendid contribution to that goal, and will be a great help to the students, teachers, and practitioners in economics and social sciences.”

—amartya sen,LamontUniversityProfessor, HarvardUniversity,NobelLaureateinEconomics(1998)

Contents: Preface to the Second Edition. Preface to the First Edition. Acknowledgements. RethinkingBanking.WhyInterveneinCreditMarkets?.RootsofMicrofinance:ROSCAsandCreditCooperatives.GroupLending. Beyond Group Lending. Savings and Insurance. Gender. Commercialization and Regulation.Measuring Impacts. Subsidy and Sustainability. Managing Microfinance. Notes. References. AbbreviationsNameIndex.SubjectIndex.

eConomiCs of miCrofinanCe, the 2nd ed.

Beatriz armenDáriz, is Lecturer in Economics at Harvard University, on leave from University College London, where she is Senior Lecturer in Economics.Jonathan morDuCh, is Associate Professor of Public Policy and Economics at New York University.

488 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-4271-2 / ` 425.00

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Publiceconomics studieshowgovernment taxingandspendingactivitiesaffect theeconomy—economicefficiency and the distribution of income and wealth. This comprehensive text in public economics covers the core topics such as market failure and taxation as well as recent developments in the political economy and public choice literatures. It is unique not only in its broad scope but in its balance between public finance and public choice and its combination of theory and relevant empirical evidence.

After introducing the theory and methodology of public economics and reviewing the efficiency of the competitive equilibrium, the book presents a historical and theoretical overview of the public sector. This text introduces the reader to the theory of public economics and the most significant results of the analysis, providing an overview of the current state of the field. It is accessible to anyone with a background of intermediate microeconomics and macroeconomics and can be used in advanced undergraduate as well as postgraduate courses. Although the mathematics has been kept to a minimum, the book remains analytical rather than discursive. Annotated suggestions for further reading and numerous exercises are included at the end of each chapter.

Contents: Preface. i: puBliC eConomiCs anD eConomiC effiCienCy—An Introduction to PublicEconomics. Equilibrium and Efficiency. ii: government—Public Sector Statistics. Theories of thePublic Sector. iii: Departures from effiCienCy—Public Goods. Club Goods and Local Public Goods.Externalities. Imperfect Competition. Asymmetric Information. iv: politiCal eConomy—Voting. Rent-Seeking. v: equity anD DistriBution—Optimality and Comparability. Inequality and Poverty. VI: TAXATION—CommodityTaxation.IncomeTaxation.TaxEvasion.vii: multiple JurisDiCtions—FiscalFederalism.FiscalCompetition.viii: issues of time—IntertemporalEfficiency.SocialSecurity.EconomicGrowth.Index.

intermeDiate puBliC eConomiCs

Jean hinDriks is Professor in the Economics Department and Codirector of the Center for Operations Research and Econometrics (CORE) at the Université Catholique de Louvain. gareth D. myles is Head of Department and Professor of Economics at the University of Exeter.

744 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3174-7 / ` 395.00

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Overthepasttwentyyears,thestudyofindustrialorganization—theanalysisof imperfectlycompetitivemarkets—hasgrownfromanicheareaofmicroeconomicstoakeycomponentofeconomicsandofrelateddisciplines such as finance, strategy, and marketing. This book provides an issue-driven introduction to industrialorganization.Whileformalinitsapproach,thebookiswritteninawaythatrequiresonlybasicmathematical training.

“Industrial Organization has needed a book like this. This articulate exposition of the subject by Luis Cabral, who has himself made many important contributions to the field, will be invaluable to all students of industrial organization.”

—paul klemperer

“This book seems destined to become a leading text in the field. It contains extremely good motivating examples from several countries, and is the first book successfully to incorporate a modern discussion of the determinants of market structure. I intend to adopt it.”

—miChael Waterson

Contents: Preface. part one: introduction—WhatisIndustrialOrganization.BasicMicroeconomics.TheFirm.GamesandStrategy.part two: from monopoly to perfect Competition—MonopolyandRegulation.Perfect(andAlmostPerfect)Competition.part three: oligopoly—OligopolyCompetition.Collusion.Market Structure and Market Power. part four: price and nonprice strategies—Price Discrimination.VerticalRelations.ProductDifferentiation.Advertising.part five: entry and exit—EntryCosts,MarketStructure,and Welfare. Strategic Behavior, Entry and Exit. part six: technology—Research and Development.NetworksandStandards.Notes.Index.

introDuCtion to inDustrial organization

luis m.B. CaBral, Professor of Economics, Leonard Stern School of Business, New York University.

368 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4153-1 / ` 350.00

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This landmark graduate-level text combines depth and breadth of coverage with recent, cutting-edge work in all the major areas of modern labor economics. Labor Economics is the only textbook available for advanced graduate students in the field.

The book moves back and forth between factual data and theoretical reasoning. The space devoted to theory reflects theprofound theoretical restructuring in thefield thathas takenplace in the last thirtyyears; the authors present these developments within a unified pedagogic framework. The teaching methods are based on mathematical models, with the mathematical analyses laid out clearly, and the derivation of most results given in five mathematical appendixes that provide a toolkit for understanding the models.

“An encyclopedic, integrated, and thoroughly modern presentation of labor economics, from supply and demand decisions to unemployment to the role and effects of institutions. Topics with which I am familiar have been given a clear, concise, precise, balanced, and convincing treatment. This is an outstanding textbook.”

—olivier BlanCharDDepartment of Economics, MIT

Contents: Introduction. Acknowledgments. part one: supply anD DemanD Behaviors—LaborSupply.Education and Human Capital. Job Search. Labor Demand. part two: Wage formation—Compensating Wage Differentials and Discrimination. Contracts, Risk-Sharing, and Incentive. Collective Bargaining.part three: unemployment anD inequality—Unemployment and Inflation. Job Reallocation andUnemployment. Technological Progress, Globalization, and Inequalities. part four: institutions anD eConomiC poliCy—Labor Market Policies. Institutions and Labor Market Performance. MathematicalAppendices—A: Static Optimization. B: Dynamic Optimization. C: Basic Notions Concerning RandomVariables. D: The Poisson Process and the Value of anAsset. E: Systems of Linear Difference Equations.Notes.NameIndex.SubjectIndex.

laBor eConomiCs

pierre CahuC and anDré zylBerBerg

880 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3795-4 / ` 525.00

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The text provides the first comprehensive description and evaluation of macroeconomic theory in many years.

Themainpurposeof thebook is tocharacterizeandexplainfluctuations inoutput,unemployment,andmovement in prices. Topics include consumption and investment, the implications of finite horizons, goals of economic policy, fiscal policy, and dynamic inconsistency.

Written as a text for postgraduate students, the book also presents topics in a self-containedway thatmakes it a suitable reference for professional economists. A background in macroeconomics, statistics and econometrics is the prerequisite for studying the text.

Key Features• Completediscussionsonvariousmodelsappropriatetoeachtopic.

• A special chapter analyses the goals of economic policy, monetary policy, fiscal policy, and dynamicinconsistency.

• Basicmodelsaredescribedandextendedtotakeintoaccountthepresenceofuncertaintyandstochasticfluctuations.

• Twoexclusivechapterscoverwhat-may-becallednewKeynesianeconomics.

Contents: Preface. Introduction. Consumption and Investment: Basic Infinite Horizon Models. TheOverlappingGenerationsModel.Money.Multiple Equilibria,Bubbles, and Stability.Optimal Consumption,Investment, and Inventory Behavior. Competitive Equilibrium Business Cycles. Nominal Rigidities andEconomicFluctuations.Goods,Labor,andCreditMarkets.SomeUsefulModels.MonetaryandFiscalPolicyIssues.NameIndex.SubjectIndex.

leCtures on maCroeConomiCs

olivier Jean BlanCharD, Professor of Economics at Massachusetts Institute of Technology.stanley fisCher, Professor of Economics at Massachusetts Institute of Technology and Vice-President of Development Economics at the World Bank.

664 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-1042-1 / ` 325.00

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This book presents an equilibrium approach to macroeconomics. It shows readers how market-clearing models with strong microeconomic foundations can be used to understand real-world phenomena and to evaluate alternative macroeconomic policies. Moreover, a single, unified framework works as well for short-termbusinessfluctuationasforlong-termeconomicgrowth.

This latest edition includes the most recent theoretical and empirical developments in economic growth, recent evidence on the macroeconomics of labor markets and public finance, and up-to-date results on the interplay between nominal and real variables.

“He has changed the way economists think about everything from the long-run effects of government deficits to the forces that favor economic growth.”

— sylvia nasar,NewYorkTimes

Contents: Preface. The Approach to Macroeconomics. part one: microeconomic foundations and the Basic market-Clearing model—Work Effort, Production, and Consumption—TheEconomics of Robinson Crusoe. The Behavior of Households with Markets for Commoditiesand Credit. The Demand for Money. The Basic Market-Clearing Model. The Labor Market. part two: inflation—An Introduction to Inflation and Interest Rates. Money, Inflation, andInterest Rates in the Market-Clearing Model. part three: Business fluctuations, unemployment, and economic growth—Investment and Real Business Cycles. Unemployment. Economic Growth. part four: government Behavior—GovernmentConsumptionandPublicServices.TaxesandTransfers.ThePublicDebt.part five: the international economy—WorldMarketsinGoodsandCredit.ExchangeRates— part six: interactions between the monetary sector and the real sector—Financial Intermediation, TheInterplaybetweenNominalandRealVariables—WhatistheEvidence?MoneyandBusinessFluctuationsintheMarket-ClearingModel.TheKeynesianTheoryofBusinessFluctuations.Bibliography.Glossary.AuthorIndex.SubjectIndex.

maCroeConomiCs, 5th ed.

roBert J. Barro is Robert C. Waggoner Professor of Economics at Harvard University and a senior fellow of the Hoover Institution at Stanford University.

896 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4485-3 / ` 795.00

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This introductory text offers an alternative to the encyclopedic, technically oriented approach taken by traditional textbooks on macroeconomic principles. Concise and non-technical but at the same time rigorous, its goal is not to teach students to shift curves on diagrams but to help them understand fundamental macroeconomic concepts and their real-world applications. This is accomplished by the clear expositionofintroductorymacroeconomictheoryprovidedinthebookalongwithmorethan700two/threesentence “news clips” of economics media coverage that serve as illustrations/exercises of the concepts discussed.

This updated edition includes subprime mortgage crisis and other subjects; new “curiosities” (boxedexpositions of important topics) have been added, as have “news clips” about recent events; and themost challenging end-of-chapter questions are now separated from the less challenging. Many chapters includeasetofnumericalexercises(quitedifferentfromthosefoundintraditionaltexts);asampleexamquestion appears at the end of each section within a chapter; and a test bank of multiple-choice questions (withanswers)isavailableonline.Technicalmaterialappearsinappendicesfollowingeachchapter.Otherappendices offer answers to the sample exam questions and the even-numbered end-of-chapter exercises.

“By setting aside much of the formal apparatus of ‘curve-shifting’ economics, Macroeconomic Essentials focuses attention just where it should be—on understanding key concepts and on thinking. at the center of economics is, after all, the study of human behavior, not the art of mathematical manipulation.”

—lloyD J. Dumas,ProfessorofEconomicsUniversityofTexasatDallasandauthorofThe Peacekeeping Economy

“in the third edition of Macroeconomics Essentials, peter kennedy sets himself a difficult task and succeeds beautifully. kennedy’s textbook marries impressive breadth, simplicity, and rigor. he provides a concise and non-technical overview of the core analytical concepts in macroeconomics who are tethered to bits of relevant empirical evidence. this is a particularly useful textbook for instructors outside of economics departments that want to bring students quickly up to speed on the principles that underlie recent political economic trends and events (including the subprime crisis).”

—stephen nelson,NorthwesternUniversity

Contents: Preface. Introduction. The Basics of Supply and Demand, and a Big Picture. Measuring GDP andInflation.Unemployment.TheRoleofAggregateDemand.TheSupplySide.GrowthandProductivity.The Money Supply. The Monetarist Rule. Monetary Policy and Interest Rates. Real versus-Nominal Interest Rates. Stagflation. The Balance of Payments. Policy in an Open Economy. Purchasing PowerParity.Interest-RateParity.AppendixAAnswerstoSampleExamQuestions,AppendixBAnswerstoEvenNumberedExercises.Glossary.Index.

maCroeConomiC essentials understanding economics in the news 3rd ed.

peter e. kenneDy, formerly Professor Emeritus of Economics atSimon Fraser University.

480 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4486-0 / ` 495.00

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This uptodate, comprehensive and student-friendly book provides a thorough treatment of the mathematical concepts most frequently used in analyzing economic problems. Besides acquiring mathematical skills, the student is equipped to gain some knowledge of the main economic models and their properties.

Divided into five parts, the text begins with a review of the fundamentals concerned primarily with sets, numbers and functions, and logically develops the ideas of limit and continuity. Then it moves on to the calculus of functions of one variable, linear algebra, multivariable calculus and, finally, dynamics. Further, the text focuseson simplegame theory, L’Hopital’s rule, Leibniz’s rule, and thedevelopmentoftheHamiltonian function.Todevelopthestudent’sproblem-solvingskills, the textgivesa largenumberof worked-out examples and economic applications.

Senior undergraduate and postgraduate students of economics will find this text extremely useful andinvaluable.

Key Features• Provides clear understanding of the mathematical concepts themselves to develop the ability and

confidence of the student.

• Givesalargenumberofworked-outeconomicexamplesandexercisesforself-study.

• Chapter-endreviewofkeyconcepts,reviewquestions,clear-cutdiagrams,enhancecomprehensionofthetopics discussed.

Contents: Preface.part one: introDuCtion anD funDamentals—Introduction.ReviewofFundamentals.Sequences, Series, and Limits. part two: univariate CalCulus anD optimization—Continuity of Functions. The Derivative and Differential for Functions of One Variable. Optimization of Functions ofOne Variable. part three: linear algeBra—Systems of Linear Equations. Matrices. Determinants andthe Inverse Matrix. Some Advanced Topics in Linear Algebra. part four: multivariate CalCulus—Calculus forFunctionsofn-Variables.OptimizationofFunctionsofn-Variables.ConstrainedOptimization.Comparative Statics. Concave Programming and the Kuhn-Tucker Conditions. part five: integration anD DynamiC methoDs—Integration. An Introduction to Mathematics for Economic Dynamics. Linear, First-OrderDifferenceEquations.Nonlinear,First-OrderDifferenceEquations.Linear,Second-OrderDifferenceEquations. Linear, First-Order Differential Equations. Nonlinear, First-Order Differential Equations. Linear,Second-OrderDifferentialEquations.SimultaneousSystemsofDifferentialandDifferenceEquations.OptimalControlTheory.Appendix:ComplexNumbersandCircularFunctions.Answers.Index.

mathematiCs for eConomiCs, 2nd ed.

miChael hoy, John livernois, Chris mCkenna, and thanasis stengos are with the Department of Economics, University of Guelph, Ontario, Canada. ray rees is faculty, the Ludwig-Maximilians University, Munich.

1144 pp. / 17.8 × 23.5 cm / IsBN-81-203-2463-3 / ` 450.00

eConomiCs

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This book by a leading authority on monetary policy offers a unique view of the subject from the perspectives of both scholar and practitioner. The book discusses the changes in the conduct of monetary policy inrecentyears, inparticulartheturnto inflationtargeting.Itsumsup“everything you Wanted to know about monetary policy strategy, But Were afraid to ask,”andreflectsonwhatwehavelearntabout monetary policy over the last thirty years.

The book blends theory, empirical evidence, and extensive case studies of monetary policy in advanced and emerging market and transition economies. Throughout, its focus is on the following key areas:

• theimportanceofpricestabilityandanominalanchor

• fiscalandfinancialpreconditionsforachievingpricestability

• centralbankindependenceasanadditionalprecondition

• centralbankaccountability

• therationaleforinflationtargeting

• theoptimalinflationtarget

• centralbanktransparencyandcommunication

• theroleofassetpricesinmonetarypolicy.

Contents: Preface. i: hoW DiD We get here?—Fundamental Issues in the Conduct of MonetaryPolicy. What Should Central Banks Do? The Transmission Mechanism and the Role of Asset Prices inMonetary Policy. The Role of Output Stabilization in the Conduct of Monetary Policy. Can Central BankTransparency Go Too Far? Is There a Role for Monetary Aggregates in the Conduct of Monetary Policy?Rethinking the Role of NAIRU in Monetary Policy: Implications of Model Formulation and Uncertainty.ii: monetary poliCy strategy in aDvanCeD eConomies—Central Bank Behavior and the StrategyofMonetaryPolicy:Observations fromSixIndustrializedCountries. InflationTargeting:ANewFrameworkfor Monetary Policy? International Experience with Different Monetary Policy Regimes. Why the FederalReserveShouldAdoptInflationTargeting.iii: monetary poliCy strategy in emerging market anD transition eConomies—Inflation Targeting in Emerging Market Countries. Monetary Policy StrategiesforLatinAmerica.MonetaryPolicyStrategiesforEmergingMarketCountries:LessonsfromLatinAmerica.Inflation Targeting in Transition Economies: Experience and Prospects. A Decade of Inflation TargetingintheWorld:WhatDoWeKnowandWhatDoWeNeedtoKnow?TheDangersofExchange-RatePeggingfor Emerging Market Countries. The Mirage of Exchange-Rate Regimes for Emerging Market Countries. iv: What have We learneD?—EverythingYouWantedtoKnowaboutMonetaryPolicyStrategy,butWereAfraidtoAsk.Sources.Index.

monetary poliCy strategy

freDeriC s. mishkin

560 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3957-6 / ` 475.00

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This text presents a comprehensive treatment of the most important topics in monetary economics, focusing on the primary models monetary economists have employed to address topics in theory and policy. It covers the basic theoretical approaches, shows how to do simulation work with the models, and discusses the full range of frictions that economists have studied to understand the impacts of monetary policy.

This third edition reflects the latest advances in the field, incorporating new or expanded material onsuch topics as monetary search equilibria, sticky information, adaptive learning, state-contingent pricing models, and channel systems for implementing monetary policy. Much of the material on policy analysis has been reorganized to reflect the dominance of the new Keynesian approach. The book continues tobe not only the leading text in the field but also the standard reference for academics and researchers.

“Carl Walsh’s monetary theory and policy is an indispensable bridge between theory and practice. the book is a comprehensive overview of the field. each topic is addressed by a few models exposited with mathematical rigor and policy insight. the depth and breadth of the model presentations make the book an essential reference for students and central bank economists alike.”

—marvin gooDfrienD,TepperSchoolofBusiness,CarnegieMellonUniversity

Contents: Preface. Introduction. Empirical EvidenceonMoney, Prices, andOutput.Money-in-the-UtilityFunction.MoneyandTransactions.MoneyandPublicFinance.MoneyintheShortRun:InformationalandPortfolioRigidities.Money intheShortRun:NominalPriceandWageRigidities.DiscretionaryPolicyandTimeInconsistency.NewKeynesianMonetaryEconomics.MoneyandtheOpenEconomy.FinancialMarketsandMonetaryPolicy.MonetaryPolicyOperatingProcedures.References.NameIndex.SubjectIndex.

monetary theory anD poliCy, 3rd ed.

Carl e. Walsh, Professor of Economics, University of California, Santa Cruz.

648 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4252-1 / ` 450.00

eConomiCs

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The text is a well-written introduction for a basal course in mechanical engineering. Rigorous in its approach, the book is distinguishable by the choice and order of the subject matter, its careful derivationandexplanationofthelawsoffluidmechanics,anditsattentiontoeverydayexamplesoffluidflowandcommonengineeringapplications.

Thetextintroducestheprinciplesoffluidmechanicsinawellorganisedandmethodicalmanner,beginningwith the simple and proceeding to the complex. At each stage, practical engineering problems are solved, principally in engineering systems such as dams, pumps, turbines, pipe flows, but with occasionalillustrations fromphysiological andmeteorologicalflows. Theapproachbuildson the students’ everydayexperience with fluid mechanics, showing how scientific principles permit a quantitative understandingof what is happening and provide a basis for designing engineering systems that achieve the desired objectives.

Key Features• Tosavetime,thederivationsofthefluidprinciplesareconciselygiventhroughtheuseoftheoremsof

vector calculus.

• Moreattentionisgiventounsteadyflowsandtheirimportanceinpipeflowandexternalflows.

• The examples and exercises illustrate real engineering situations, including physically realistic valuesof the problem variables. Many of these problems require calculation of numerical values, giving the student experience in judging the correctness of the students’ numerical skills.

Contents: Introduction. Fluid Statics. Conservation of Mass. Inviscid Flow. Conservation ofMomentum.LaminarViscousFlow.TurbulentViscousFlow.ConservationofEnergy.FlowinFluidSystems.DimensionalAnalysisandModeling.IrrotationalFlow.CompressibleFlow.Index.

introDuCtion to fluiD meChaniCs

James a. fay, Professor Emeritus of Mechanical Engineering, Massachusetts Institute of Technology.

628 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-1044-5 / ` 350.00

engineering Civil engineering

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engineering electronics and electrical engineering

This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation.

Itdescribesabroadrangeofmethods,includingcontinuousanddiscreteFouriertransforms,independentcomponent analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods.It also discusses the applications of these theoretical tools to practical problems in everyday biosignal processing.

The book can be used as a text by the undergraduate as well as postgraduate students of the subject.

Contents: Preface. i. methoDs—Foundations of Medical Imaging and Signal Recording. SpectralTransformations. InformationTheoryandPrincipalComponentAnalysis. IndependentComponentAnalysisand Blind Source Separation. Dependent Component Analysis. Pattern Recognition Techniques. FuzzyClustering and Genetic Algorithms. ii. appliCations—8. Exploratory Data Analysis Methods for fMRI.Low-frequencyFunctionalConnectivityinfMRI.ClassificationofDynamicBreastMRImageData.DynamicCerebral Contrast-enhancedPerfusionMRI. Skin Lesion Classification.Microscopic Slice ImageProcessingandAutomaticLabeling.NMRWaterArtifactRemoval.References.Index

BiomeDiCal signal analysis Contemporary methods and applications

faBian J. theis is head of the Computational Modeling in Biology Group at the Institute of Bioinformatics and Systems Biology, German Research Center for Environmental Health, Neuherberg, Germany. anke meyer-Base is Associate Professor in the Department of Scientific Computing at Florida State University.

432 pp. / 15.3 × 22.9 cm / isBn-978-81-203-4263-7 / ` 450.00

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ThisbookoffersacomprehensivetreatmentofVHDLanditsapplicationstothedesignandsimulationofreal,industry-standardelectroniccircuits.ItfocusesontheuseofVHDLratherthansolelyonthelanguageitself.Inotherwords,besidesexplainingVHDLindetail,itshowswhy,how,andwhichtypeofcircuitsareinferred from the language constructs.

ThebookalsoincludesadetailedanalysisofcircuitsimulationwithVHDLtestbenchesinallofthefourcategories(nonautomated,fullyautomated,functionalandtiming)ofsimulations.ArigorousdiscussionisthusmadebetweenVHDLforsynthesisandVHDLforsimulations.

Inanutshell, thebook teachesall the indispensable featuresofVHDL. It also reviews the fundamentalconcepts of digital electronics and digital design, resulting in a very practical, self contained approach.

InbothsynthesisandsimulationcasestheVHDLcodesinalldesignexamplesarecomplete,andincludecircuit diagrams, physical synthesis in FPGAs (Field Programmable GateArrays), simulation results, andexplanatory comments.

AllofthefourVHDLeditions(1987,1993,2002and2008)arecovered.

ThebookismainlyintendedforthestudentsofElectricalEngineeringandComputerScienceandEngineering.ItwillalsobeusefultotheVHDLanddigitaldesignengineersandpractitionersintheindustry.

“Volnei Pedroni explains what designers really need to know to build hardware with VHDL. This book sets the standard for how hardware description languages should be taught.”

— DaviD MoNey Harris

ProfessorofEngineering,HarveyMuddCollege

Contents: Preface. i. CirCuit-level vhDl—Introduction. Code Structure. Data Types. Operators andAttributes.ConcurrentCode.SequentialCode.SignalandVariable.ii. system-level vhDl—PackageandComponent. FunctionandProcedure.SimulationwithVHDLTestbenches. iii. extenDeD anD aDvanCeD Designs—VHDL Design of State Machines. VHDL Design with Basic Displays. VHDL Design of MemoryCircuits.VHDLDesignofSerialCommunicationsCircuits.VHDLDesignofVGAVideoInterfaces.VHDLDesignofDVIVideoInterfaces.VHDLDesignofFPD-LinkVideoInterfaces.Appendices.Bibliography.Index.

CirCuit Design anD simulation With vhDl 2nd ed.

volnei a. peDroni, Professor of Electronics Engineering at Brazil’s Federal University of Technology.

632 pp. / 17.8 × 23.5 cm / isBn-978-81-203-4301-6 / ` 450.00

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As book review editor of the IEEE Transactions on Neural Networks,MohamadHassounhashadtheopportunityto assess the multitude of books on artificial neural networks that have appeared in recent years. Now, in Fundamental of Artificial Neural Networks, he provides the first systematic account of the artificial neural network paradigms by identifying clearly the fundamental concepts and major methodologies that underlie most of the current theory and practice employed by neural network researchers. This text emphasizes the fundamental theoretical aspects of the computational capabilities and the learning abilities of artificial neural networks.

The text assumes that the reader is conversant with the concept of a system and the notion of a “state”, as well as with the basic elements of Boolean algebra and switching theory.

Contents:Preface.Acknowledgment.Abbreviations.Symbols.ThresholdGates.ComputationalCapabilitiesofArtificialNeuralNetworks.LearningRules.MathematicalTheoryofNeuralLearning.AdaptiveMultilayerNeural Networks I. Adaptive Multilayer Neural Networks II. Associative Neural Memories. Global SearchMethodsforNeuralNetworks.References.Index.

funDamentals of artifiCial neural netWorks

mohamaD h. hassoun, Associate Professor, Department of Electrical and Computer Engineering, Wayne State University.

540 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-1356-9 / ` 350.00


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Contents: Preface. part i: roBotiC paraDigms—From Teleoperation to Autonomy. The HierarchicalParadigm.BiologicalFoundationsoftheReactiveParadigm.TheReactiveParadigm.DesigningaReactiveImplementation. Common Sensing Techniques for Reactive Robots. The Hybrid Deliberative/ReactiveParadigm. Multi-agents. part ii: navigation—Topological Path Planning. Metric Path Planning.LocalizationandMapMaking.OntheHorizon.Bibliography.Index.


roBin r. murphy, Associate Professor of Computer Science and Enginering, University of South Florida, Tampa.

488 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2458-9 / ` 325.00


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An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks both from a broad neuroscience and cognitive science perspective, with an increased emphasis on the biology and psychology governing the assumptions of the models as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author’s own ideas.

Contents: Introduction.Acknowledgments.PropertiesofSingleNeurons.SynapticIntegrationandNeuronModels.EssentialVectorOperations.LateralInhibitionandSensoryProcessing.SimpleMatrixOperations. The Linear Associator: Background and Foundations. The Linear Associator: Simulations. Early NetworkModels: The Perceptron. Gradient Descent Algorithms. Representation of Information. Applications ofSimpleAssociators:ConceptsFormationandObjectMotion.EnergyandNeuralNetworks:HopfieldNetworksand BoltzmannMachines. Nearest NeighborModels. Adaptivemaps. The BSBModel: A Simple NonlinearAutoassociative Neural Network. Associative Computation. Teaching Arithmetic to a Neural Network. Afterword. Index.

introDuCtion to neural netWorks, an

James a. anDerson

668 pp. / 20.0 × 25.0 cm / IsBN-978-81-203-1351-4 / ` 495.00


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Signal processing and neural computation have, for long, significantly but separately influenced manydisciplines. New researches and the fact that highly sophisticated kinds of signal processing and elaborate computations are performed side by side in the brain, however, show that these two fields have much to teach each other as well.

This book discusses the cross-fertilization of these two streams and compiles work of leading researchers from both the areas that promote interaction between both the disciplines.

This text is primarily meant for the advanced undergraduate and postgraduate students of bioinformatics andbiomedicalengineering.However,havingevolvedfromtwodifferentfields,thetextisalsousefulforthe senior students of electronics and communication engineering, computer science and engineering, and electrical engineering.

Contents: Series Foreword. Preface. Modeling the Mind: From Circuits to Systems. Empirical Statisticsand Stochastic Models for Visual Signals. The Machine Cocktail Party Problem. Sensor Adaptive SignalProcessingofBiologicalNanotubes(IonChannels)atMacroscopicandNanoScales.SpinDiffusion:ANewPerspective inMagneticResonance Imaging.WhatMakes aDynamical SystemComputationallyPowerful? AVariationalPrincipleforGraphicalModels.ModelingLargeDynamicalSystemswithDynamicalConsistentNeuralNetworks.DiversityinCommunication:FromSourceCodingtoWirelessNetworks.DesigningPatternsfor Easy Recognition: Information Transmission with Low-Density Parity-Check Codes. Turbo Processing.BlindSignalProcessingBasedonDataGeometricProperties.Game-TheoreticLearning.LearningObservableOperatorModelsviatheEfficientSharpeningAlgorithm.References.Contributors.Index.

neW DireCtions in statistiCal signal proCessing: from systems to Brains

Edited by:simon haykin, José C. prínCipe, terrenCe J. seJnoWski, and John mCWhirter

524 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3240-9 / ` 495.00


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Contents: Preface. part i: roBotiC paraDigms—From Teleoperation to Autonomy. The HierarchicalParadigm.BiologicalFoundationsoftheReactiveParadigm.TheReactiveParadigm.DesigningaReactiveImplementation. Common Sensing Techniques for Reactive Robots. The Hybrid Deliberative/ReactiveParadigm. Multi-agents. part ii: navigation—Topological Path Planning. Metric Path Planning.LocalizationandMapMaking.OntheHorizon.Bibliography.Index.


roBin r. murphy, Associate Professor of Computer Science and Engineering, University of South Florida, Tampa.

488 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2458-9 / ` 325.00

engineering Mechanical engineering

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This book offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers.

The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform tasks, including locomotion, sensing, localization, and motion planning. The book presents techniques and technology that enable mobility in a series of interacting modules. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques.

New to thIs edItIoN•Newmaterialhasbeenaddedontopicssuchaslocomotion,perception,localization,andplanningand

navigation.

• Problemsetshavebeenaddedattheendofeachchapter.

As the book covers all aspects of robotics into one volume, it can serve as textbook or working tool for beginning practitioners.

“This text provides a clear and systematic development of the essentials of mobile robotics. The second edition adds up-to-date material to a book that has already been adopted in robotic classes worldwide. With this guide in hand, students and readers will swiftly navigate the field toward more advanced systems.”

— raJa Chatila,LAAS-CNRS,France

Contents: Acknowledgments. Preface. Introduction. Locomotion. Mobile Robot Kinematics. Perception.MobileRobotLocalization.PlanningandNavigation.Bibliography.Index.

introDuCtion to autonomous moBile roBots, 2nd ed.rolanD siegWart is Professor of Autonomous Systems and Director of the Center for Product Design at the Institute of Robotics and Intelligent Systems, ETH Zürich.

iiiah r. nourBakhsh is Professor of Robotics and Director of the CREATE Lab in the Robotics Institute, School of Computer Science, at Carnegie Mellon University.

DaviDe sCaramuzza is Senior Researcher at the Autonomous Systems Lab at ETH Zürich, where he is also a lecturer and leader of the European project sFly.

472 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4322-1 / ` 450.00


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The text is a well-written introduction for a basal course in mechanical engineering. Rigorous in its approach, the book is distinguishable by the choice and order of the subject matter, its careful derivationandexplanationofthelawsoffluidmechanics,anditsattentiontoeverydayexamplesoffluidflowandcommonengineeringapplications.

Thetextintroducestheprinciplesoffluidmechanicsinawellorganisedandmethodicalmanner,beginningwith the simple and proceeding to the complex. At each stage, practical engineering problems are solved, principally in engineering systems such as dams, pumps, turbines, pipe flows, but with occasionalillustrations fromphysiological andmeteorologicalflows. Theapproachbuildson the students’ everydayexperience with fluid mechanics, showing how scientific principles permit a quantitative understandingof what is happening and provide a basis for designing engineering systems that achieve the desired objectives.

Key Features• Tosavetime,thederivationsofthefluidprinciplesareconciselygiventhroughtheuseoftheoremsof

vector calculus.

• Moreattentionisgiventounsteadyflowsandtheirimportanceinpipeflowandexternalflows.

• The examples and exercises illustrate real engineering situations, including physically realistic valuesof the problem variables. Many of these problems require calculation of numerical values, giving the student experience in judging the correctness of the students’ numerical skills.

Contents: Introduction. Fluid Statics. Conservation of Mass. Inviscid Flow. Conservation ofMomentum.LaminarViscousFlow.TurbulentViscousFlow.ConservationofEnergy.FlowinFluidSystems.DimensionalAnalysisandModeling.IrrotationalFlow.CompressibleFlow.Index.

introDuCtion to fluiD meChaniCs

James a. fay, Professor Emeritus of Mechanical Engineering, Massachusetts Institute of Technology.

628 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-1044-5 / ` 350.00


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This book by distinguished researchers in Robotics reveals the great advances that have taken place in the last ten years in robot motion planning including sensor-based planning, probabilistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical under-pinnings of robot motion accessible to students of computer science and engineering, relating low-level implementation details to high-level algorithmic concepts. It is aimed at advanced undergraduate or new graduate students interested in robot motion.

“Although journal and conference papers in motion planning have proliferated, there has not been any comprehensive reference text in more than a decade. This book fills this gap in outstanding fashion. It covers both the early foundations of the field and the recent theoretical and practical progress that has been made…”

—FromtheForewordbyJean-ClauDe latomBe

Contents: Foreword. Preface. Acknowledgments. Introduction. Bug Algorithms. Configuration Space.Potential Functions. Roadmaps. Cell Decompositions. Sampling-Based Algorithms. Kalman Filtering.Bayesian Methods. Robot Dynamics. Trajectory Planning. Nonholonomic and Underactuated Systems. A: Mathematical Notation. B: Basic Set Definitions. C: Topology and Metric Spaces. D: Curve Tracing. E:RepresentationsofOrientation.F:PolyhedralRobotsinPolyhedralWorlds.G:AnalysisofAlgorithmsandComplexityClasses.H:GraphRepresentationandBasicSearch.I:StatisticsPrimer.J:LinearSystemsandControl. Bibliography. Index.

prinCiples of roBot motion theory, algorithms, and implementationshoWie Choset, Associate Professor in the Mechanical Engineering Department, Robotics Institute, Carnegie Mellon University.kevin m. lynCh, Associate Professor in the Mechanical Engineering Department, Northwestern University.seth hutChinson, Professor, Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign.george kantor, Project Scientist, Center for the Foundations of Robotics, Robotics Institute, Carnegie Mellon University.Wolfram BurgarD, Associate Professor and Head of the Autonomous Intelligent Systems Research Lab, Department of Computer Science, University of Freiburg.lyDia e. kavraki, Professor of Computer Science and Bioengineering, Rice University.seBastian thrun, Associate Professor, Computer Science Department, Stanford University and Director, Stanford’s AI Lab.

628 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-2884-6 / ` 425.00


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The progress in optimization techniques and information technology has made it possible to solve complex problems involvinguncertainty and severe time constraints. For example in the airline industry complexfleet assignments, crew scheduling, gate allocation etc. have to be preciselyworked out using advanceoptimization algorithms, but major disruptions like unforeseen weather conditions, strikes, breakdown etc. have also to be reckoned. Increasingly there are many industries and occupations—from manufacturingunits and power grid networks to emergency ambulance services to packed scheduling for internet communication and reservation system—need to employ online decision making processes. This bookpresents the ideal framework, online stochastic combinatorial optimization to address this challenge.

The text gives several online stochastic algorithms implementing the framework, provides performance guarantees, and demonstrates a variety of applications. The authors discuss how to relax some of the assumptions in using historical sampling and machine learning and analyze different underlying algorithmic problems before addressing the framework’s possible limitations and suggesting directions for future research.

The main innovation in the text lies in the class of online anticipatory algorithms that combine online algorithms(fromcomputerscience)andstochasticprogramming(fromoperationresearch),andcombinatorialoptimization for sequential decision making under uncertainty.

Useful for advanced courses in operations research, computer science, and production engineering, this book will also be a useful companion to professionals concerned with optimization technology and online decision making methods.

Contents: Preface. Introduction. i: online stoChastiC sCheDuling—Online Stochastic Scheduling.Theoretical Analysis. Packet Scheduling. ii: online stoChastiC reservations—Online StochasticReservations. OnlineMultiknapsack Problems. iii: online stoChastiC routing—Vehicle RoutingwithTimeWindows.Online Stochastic Routing.OnlineVehicleDispatching.OnlineVehicle Routingwith TimeWindows. iv: learning anD historiCal sampling—Learning Distributions. Historical Sampling. v: sequential DeCision making—MarkovChance-DecisionProcesses.References.Index.

online stoChastiC ComBinatorial optimization

pasCal van hentenryCk and russell Bent

248 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3239-3 / ` 225.00

engineering Production engineering

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This book states that a better future might depend on how individuals and institutions choose amongst diverse and potentially contradictory technical, sociological, geopolitical, and environmental options, and how we set priorities for changing our present courses. It clearly presents the trade-offs and uncertainties inherent in evaluating and choosing different energy options and provides a framework for assessing policy solutions.

The text reviews the main energy sources of today and tomorrow, including fossil fuels, nuclear power, biomass, geothermal energy, hydropower, wind energy, and solar energy, examining their technologies, environmental impacts, and economics. It also discusses about energy storage, transmission, and distribution; about the electric power sector; transportation, industrial energy usage, commercial and residential buildings, and synergistic complex systems.

It considers sustainable energy as a complex system that, in the broader context, is subservient to the “super system” of sustainable development then it provides the prospects for sustainable energy having practical global impacts.

The book is a valuable resource for all postgraduate courses concerned with energy and its many ramifications—asinengineering,publicpolicy,andenvironmentalscience.

Contents: Preface. Acknowledgments. Sustainable Energy—The Engine of Sustainable Development.EstimationandEvaluationofEnergyResources.TechnicalPerformance:Allowability,Efficiency,ProductionRates. Local, Regional, andGlobal Environmental Effects of Energy. Project Economic Evaluation. EnergySystems and Sustainability Metrics. Fossil Fuels and Fossil Energy. Nuclear Power. Renewable Energy inContext. Biomass Energy. Geothermal Energy.Hydropower. Solar Energy. OceanWaves, Tide, and ThermalEnergyConversion.WindEnergy.Storage,Transportation,andDistributionofEnergy.ElectricPowerSector.TransportationServices.IndustrialEnergyUsage.CommercialandResidentialBuildings.SynergisticComplexSystems.ChoosingAmongOptions.ConversionFactors.ListofAcronyms.Index.

sustainaBle energy Choosing among options

Jefferson W. tester, elisaBeth m. Drake, miChael J. DrisColl, miChael W. golay, and William a. peters

872 pp. / 17.8 × 23.5 cm / IsBN-81-203-2903-1 / ` 550.00

environment/energy stuDies

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Designing is what human beings do and it is basic to all human activities. In the Bubble is about designing for “preferred situations” and “desired goals” with a focus more on people and less on devices. The emphasis is on controlling things around us by design rather than allowing things to just happen and thus be controlled.

Innovative ways of doing things form the key to Thackara’s new design philosophy. Lightness,mobility,speed, locality…are all part of his design concepts.With thehelpof real-world examples, the authordemonstrates that ethics and responsibility can inform design decisions without impinging upon social and technical innovation. In other words, design with a conscience iscentraltothebook.Weneed,saystheauthor, to design from the edge, to learn from the world, and to stop designing for, but design with. The designfocusisonservices,notthings—anditismoreonprojectsandinstitutions.

Allkindsofdesigners—betheyaesthetic,engineering,industrialorprojectdesigners—willfindthebookinspiring.

“Thackara’s deeply informed book presents a breathtaking new map of the design landscape. With not a whisper of evangelistic zeal, In the Bubble offers an engaging narrative as well as design principles that speak to sustainability, joy, and quality of life in increasingly complex times.”

—BrenDa laurel, author of Utopian Entrepreneur, chair of the GraduateMediaDesignProgramatArtCenterCollegeofDesign

“Whatever you are designing, you will want to keep this next to you. When you worry if your design is good enough, you will want to check through the passages that you have marked, to be sure that you have provided for all the complexities that count. When you have an ‘Aha!’ and are confident that your design is great, you will want to check that you have matched the attributes of ‘Flow’. When you have an idle moment, you will want to read through the notes, which are a good book about design in themselves.”

—Bill moggriDge, international design expert andCofounder,IDEO,PaloAlto

“We all envy John Thackara’s digestive system. He is able to take in the most disparate events, locations, trends, and apparent minutiae and deliver back a synthesis of the way the world moves for the use of designers and of those who use design as a powerful life-forming tool. And to help us swallow what might otherwise be too abstract a meal, he serves it to us with parables that make the book not only an enriching but also a fun read.”

—paola antonelli, Curator of Architecture and Design, TheMuseumofModernArt,NewYork

Contents: Acknowledgments. Introduction. Lightness. Speed. Mobility. Locality. Situation. Conviviality.Learning.Literacy.Smartness.Flow.Notes.WhattoReadNext.Bibliography.Index.

in the BuBBle: Designing in a Complex World

John thaCkara, described as a “design guru, critic and business provocateur” by Fast Company, is the Director of Doors of Perception, a design futures network based in Amsterdam and Bangalore. He is the author of Design after Modernism, Lost in Space: A Traveler’s Tale, Winners! How Successful Companies Innovate by Design, and other books.

332 pp. / 15.3 × 22.9 cm / IsBN-81-203-2828-0 / ` 250.00

general title

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The book explores the interplay between language learning and evolution in the context of linguistic systems. Learning is the mechanism by which language is transferred from one generation of speakersto another. If linguistic knowledge is characterized in computational terms as a formal grammar and the mapping procedure is algorithmic, this conceptualization admits computational and mathematical modes of inquiry into language learning.

In this book Partha Niyogi introduces a framework for analyzing the precise nature of the relationshipbetween learning by the individual and evolution of the population. We can observe the learning oflanguage by children and marvel at the phenomenon of language acquisition; the evolution of a language, however, is not so directly experienced. In language evolution, one studies how linguistics evolved.

IntendedmainlyforstudentsofLinguistics(Computationallinguistics),thebookwillalsoproveusefulasareferenceforresearchersinthefieldandthosepursuingcoursesinAI/TheoreticalComputerScience.

Contents: Preface.Acknowledgments.part i: the problem—Introduction. part ii: language learning—LanguageAcquisition:TheProblemofInductiveInference.LanguageAcquisition:ALinguisticTreatment.LanguageAcquisition:MemorylessLearning.part iii: language Change—LanguageChange:APreliminaryModel. Language Change: Multiple Languages. An Application to Portuguese. An Application to ChinesePhonology. AModel of Cultural Evolution and Its Application to Language. Variations and Case Studies. part iv: the origin of language—The Origin of Communicative Systems: Communicative Efficiency.The Origin of Communicative Systems: Linguistic Coherence and Communicative Fitness. The Origin ofCommunicative Systems: Linguistic Coherence and Social Learning. part v: Conclusions—Conclusions. Bibliography. Index.

Computational nature of language learning anD evolution, the

partha niyogi

504 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3173-0 / ` 425.00

Journalism/language/linguistiCs

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Grammar as Science offers an introduction to syntax as an exercise in scientific theory construction.

It covers such core topics in syntax as phrase structure, constituency, the lexicon, inaudible elements, movement rules, and transformational constraints, while emphasizing scientific reasoning skills. The individual units are organized thematically into sections that highlight important components of this enterprise, including choosing between theories, constructing explicit arguments for hypotheses, and the conflictingdemandsthatpushustowardexpandingthetechnicaltoolkitontheonehandandconstrainingit on the other.

This book is constructed as a “laboratory science” course in which students actively experiment with linguistic data.

It is intended for students majoring in linguistics as well as nonlinguistics majors who are taking the course to fulfill academic requirements.

“Grammar as Science is an excellent textbook for an introductory syntax course, serving both intended linguistics majors and the general education population equally well. There isn’t anything quite like it in the market. If I ever use a textbook, I would use this one.”

— Jorge hankamer,DepartmentofLinguistics,UniversityofCalifornia,SantaCruz

“Larson’s book is an engaging and delightfully lucid introduction to the scientific nature of linguistic argumentation. While thoroughly covering the basics of syntax, it also shows students explicitly how to ‘think like a linguist.’ Students who use this book will come away with an extraordinarily strong grasp of the real underpinnings of linguistics.”

— peggy speas,DepartmentofLinguistics,UniversityofMassachusetts,Amherst

Contents: Preface for Teachers. Acknowledgements.part i: setting out—Unit 1 What Is Linguistics?. Unit 2 What Is Syntax About?. part ii: grammars as theories—Unit 3 Introducing Phrase StructureRules. Unit 4 Grammars. Unit 5 Working with Grammars. part iii: Choosing between theories— Unit 6 Comparing Rules and Theories. Unit 7 Constituency and Constituency Tests. Unit 8 Trees andTree Relations. Unit 9 Determining Category. Unit 10 Revising, Refining, and Reconsidering. part iv: arguing for a theory—Unit 11 Constructing Arguments I. Unit 12 Constructing Arguments II. part v: searching for explanation.—Unit13IntroducingtheLexicon.Unit14Features,Heads,andPhrases.Unit15VerbalComplementsandAdjuncts.Unit16DistinguishingComplementsandAdjuncts.Unit17AttachingComplements.Unit18AttachingAdjuncts.part vi: following the Consequences—Unit19ComplementsSentences I. Unit 20 Complements Sentences II. Unit 21 Invisible Lexical Items. Unit 22 NP Structure.Unit 23 X-Bar Theory. part vii: expanding and Constraining the theory—Unit 24 Interrogatives andMovement.Unit 25More onWh-Movement.Unit 26 Constraints onMovement I. Unit 27 Constraints onMovementII.Unit28Parametric.Variation.Exercises.References.Index.

grammar as sCienCe

riCharD k. larson is professor of Linguistics at Stony Brook University.

452 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4321-4 / ` 395.00


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Thiswell-acceptedintroductory linguisticstext isuniquefor its integrationofthemes.Ratherthantreatmorphology, phonetics, phonology, syntax, and semantics as completely separate fields, the book shows how they interact. It provides a sound introduction to linguistic methodology while encouraging students toconsiderwhypeopleareintrinsicallyinterestedinlanguage—theultimatepuzzleofthehumanmind.

In this new edition, all chapters have been revised. New material includes updated examples, new special topics sections, and new discussions of the minimalist program, semantic minimalism, human genetic relationships and historical relationships among languages, Gricean theories, experimental pragmatics,and language acquisition. Each chapter has numerous subsections with core material presented first and additional material following as special topic.

“Linguistics: An introduction to Language and Communication has long served as the yardstick introductory textbook to linguistics. This new edition continues in that tradition, offering a carefully updated presentation of diverse aspects of the discipline. The text succeeds in being engaging without sacrificing conceptual sophistication or analytic accuracy; it challenges the reader without overwhelming. Its comprehensive coverage of traditional linguistic topics combined with its cognitive science perspective make this textbook uniquely adaptable for a broad range of courses. It is to my mind the best overall single volume for making state-of-the-art linguistics accessible to the novice student.”

—steven franksChairandProfessorofLinguistics,IndianaUniversity

Contents: Acknowledgments. Note to the Teacher. part i the structure of human language—Introduction. What Is Linguistics?. Morphology—The Study of the Structure of Words. Phonetics andPhonemic Transcription. Phonology—The Study of Sound Structure. Syntax—The Study of SentenceStructure. Semantics—The Study of Linguistic Meaning. Language Variation. Language Change. part ii Communication and Cognitive science introduction—Pragmatics—The Study of Language Use andCommunication.PsychologyofLanguage—SpeechProductionandComprehension.LanguageAcquisitioninChildren.LanguageandtheBrain.Appendix:TheWrittenRepresentationofLanguage.Glossary.Index.

linguistiCs: an introduction to language and Communication, 6th ed.aDrian akmaJian, formerly Professor of Linguistics, University of Arizona.riCharD a. Demers, Professor Emeritus of the Dept. of Linguistics, University of Arizona.ann k. farmer, Information Engineer at Google.roBert m. harnish, Professor Emeritus of Philosophy and Linguistics, University of Arizona.

644 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4457-0 / ` 395.00


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Acquisition of language is a human biological endowment, and we know children have a natural disposition for mastering it. The biological side of language is the subject of increasing research. Biolinguists are interested in fundamental questions such as, whether speech and language are localized in the brain, how do encoding and decoding of speech and language function, and whether different components of language (syntax, phonology, semantics) are neuroanatomically distinct. Biolinguistics studies, the relationshipbetween brain function and language. In other words, it is primarily concerned with grammars that represent the computational aspects of the mind/brain.

This book elegantly introduces the subject of biolinguistics. The author provides a lucid overview of Chomsky’s contribution in biolinguistics and builds on it to offer a novel account of the nature of the humanfacultyoflanguage.Hence,apartfromtopicsinternaltobiolinguistics,thisworktouchesontopicsin the history and philosophy of science, epistemology, philosophy of language, philosophy of mind, and psychology of music, among others. In this content, the biolinguistic approach may ultimately lead to identification of a specific structure of mind.

The book is eminently suitable for courses offered in the departments of Linguistics/ComputationalLinguistics,Philosophy,Neuroscience,Psychology,andLanguagesatresearchlevel.

Contents: List of Figures. Abbreviations. Preface. The Loneliness of Biolinguistics. Linguistic Theory I.Grammar and Logic. Words and Concepts. Linguistic Theory II. Language and Music. A Joint of Nature.Notes.References.Index

primaCy of grammar, the

nirmalangshu mukherJi, Professor of Philosophy, University of Delhi.

300 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-4257-6 / ` 295.00


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Introduction to Statistical Design Theory integrates statistical inference with decision making and discusses real-world actions involving economic payoffs and risks. After developing the rationale and demonstrating the power and relevance of the subjective, decision approach, the text also examines and critiques the limitations of the objective, classical approach.

Starting with an extensive account of the foundations of decision theory, the authors develop theintertwining concepts of subjective probability and utility. They then systematically and comprehensively examine theBernoulli, Poisson, andNormal (univariate andmultivariate) data-generatingprocesses. Foreach process they consider how prior judgments about the uncertain parameters of the process are modified given the results of statistical sampling, and they investigate typical decision problems in which the main sources of uncertainty are the population parameters. They also discuss the value of sampling information and optimal sample sizes given sampling costs and the economics of the terminal decision problems.

Thus,inaself-containedcomprehensiveway,thebookshowsthattheBayesianrevolutioninstatistics—integration of statistics with decision making in areas such as management, engineering, public policy and clinical medicine, is operational and relevant for real-world decision making under uncertainty.

“This book is a classic.... The strengths of this text are twofold. First, it gives a general and well-motivated introduction to the principles of Bayesian decision theory that should be accessible to anyone with a good mathematical statistics background. Second, it provides a good introduction to Bayesian inference in general with particular emphasis on the use of subjective information to choose prior distributions.”

—mark J. sChervish, Journal of the American Statistical Association

Contents: Preface.Introduction.AnInformalTreatmentofFoundations.AFormalTreatmentofFoundations.AssessmentofUtilitiesforConsequences.QuantificationofJudgments.AnalysisofDecisionTrees.RandomVariables.ContinuousLotteriesandExpectations.SpecialUnivariateDistributions.ConditionalProbabilityand Bayes’ Theorem. Bernoulli Process. Terminal Analysis: Opportunity Loss and the Value of PerfectInformation. Paired Random Variables. Preposterior Analysis: The Value of Sample Information. PoissonProcess.NormalProcesswithKnownVariance.NormalProcesswithKnownVariance.NormalProcesswithUnknownVariance.LargeSampleTheory.StatisticalAnalysisinNormalForm.ClassicalMethods.MultivariateRandomVariables.TheMultivariateNormalDistribution.ChoosingtheBestofSeveralProcesses.AllowanceforUncertainBias. Stratification. The Portfolio Problem.Normal Linear RegressionwithKnownVariance.Appendices—1:TheTerminologyofSets.2:ElementsofMatrixTheory.3:PropertiesofUtilityFunctionsfor Monetary Consequences. 4: Tables. Bibliography. Index.

introDuCtion to statistiCal DeCision theory

John W. pratt, William Ziegler Professor of Business Administration Emeritus at Harvard University. hoWarD raiffa, Frank P. Rampsey Professor Emeritus of Managerial Economics.late roBert sChlaifer was William Ziegler Professor Emeritus.

896 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3796-1 / ` 525.00

mathematiCs/statistiCs

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This uptodate, comprehensive and student-friendly book provides a thorough treatment of the mathematical concepts most frequently used in analyzing economic problems. Besides acquiring mathematical skills, the student is equipped to gain some knowledge of the main economic models and their properties.

Divided into five parts, the text begins with a review of the fundamentals concerned primarily with sets, numbers and functions, and logically develops the ideas of limit and continuity. Then it moves on to the calculus of functions of one variable, linear algebra, multivariable calculus and, finally, dynamics. Further, the text focuseson simplegame theory, L’Hopital’s rule, Leibniz’s rule, and thedevelopmentoftheHamiltonian function.Todevelopthestudent’sproblem-solvingskills, the textgivesa largenumberof worked-out examples and economic applications.

Senior undergraduate and postgraduate students of economics will find this text extremely useful andinvaluable.

Key Features• Provides clear understanding of the mathematical concepts themselves to develop the ability and

confidence of the student.

• Givesalargenumberofworked-outeconomicexamplesandexercisesforself-study.

• Chapter-endreviewofkeyconcepts,reviewquestions,clear-cutdiagrams,enhancecomprehensionofthetopics discussed.

Contents: Preface.part one: introDuCtion anD funDamentals—Introduction.ReviewofFundamentals.Sequences, Series, and Limits. part two: univariate CalCulus anD optimization—Continuity of Functions. The Derivative and Differential for Functions of One Variable. Optimization of Functions ofOne Variable. part three: linear algeBra—Systems of Linear Equations. Matrices. Determinants andthe Inverse Matrix. Some Advanced Topics in Linear Algebra. part four: multivariate CalCulus—Calculus forFunctionsofn-Variables.OptimizationofFunctionsofn-Variables.ConstrainedOptimization.Comparative Statics. Concave Programming and the Kuhn-Tucker Conditions. part five: integration anD DynamiC methoDs—Integration. An Introduction to Mathematics for Economic Dynamics. Linear, First-OrderDifferenceEquations.Nonlinear,First-OrderDifferenceEquations.Linear,Second-OrderDifferenceEquations. Linear, First-Order Differential Equations. Nonlinear, First-Order Differential Equations. Linear,Second-OrderDifferentialEquations.SimultaneousSystemsofDifferentialandDifferenceEquations.OptimalControlTheory.Appendix:ComplexNumbersandCircularFunctions.Answers.Index.

mathematiCs for eConomiCs, 2nd ed.

miChael hoy, John livernois, Chris mCkenna, and thanasis stengos are with the Department of Economics, University of Guelph, Ontario, Canada. ray rees is faculty, the Ludwig-Maximilians University, Munich.

1144 pp. / 17.8 × 23.5 cm / IsBN-81-203-2463-3 / ` 450.00


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This work of translation of the classic Russian textbook emphasizes a fresh modern approach to thegeometric qualitative theory of ordinary differential equations. The subject matter of this book is dominated by two central ideas and their ramifications: the theorem on rectifiability of a vector field and the theory ofone-parametergroupsoflineartransformations.Whiletheauthorhastakenthelibertytoomitsomeofthe more specialized topics usually included in books on ordinary differential equations, the applications of these equations to mechanics, on the contrary, have been considered in more detail than the customary approach.

Key Features• Emphasizesthegeometricalandintuitiveaspectswhilefamiliarizingthestudentswiththeconceptsof

flowsonmanifoldsandtangentbundles.

• Presentsawealthoftopicsaccompaniedbymanythought-provokingexamples,problemsandfigures.

• Assumes the reader topossessaknowledgenotbeyondthescopeof thestandardelementarycourseson analysis and linear algebra.

“This college-level textbook treats the subject of ordinary differential equations in an entirely new way. A wealth of topics is presented masterfully, accompanied by many thought-provoking examples, problems, and 259 figures. The author emphasizes the geometrical and intuitive aspects and at the same time familiarizes the student with concepts, such as flows and manifolds and tangent bundles, traditionally not found in textbooks of this level. The exposition is guided by applications taken mainly from mechanics. One can expect this book to bring new life into this old subject.”

—aMericaN scieNtist

Contents: Preface. Frequently Used Notation. Basic Concepts. Basic Theorems. Linear Systems. Proofsof the Basic Theorems. Differential Equations onManifolds. Sample Examination Problems. Bibliography.Index.

orDinary Differential equations

v.i. arnolD

292 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-1352-1 / ` 175.00


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Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation.

Street-Fighting Mathematics, builds, sharpens, and demonstrates tools for educated guessing andopportunistic problem solving across diverse fields of knowledge—from mathematics to management.The author describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool—the general principle—from the particular application so that the reader can mosteasily grasp the tool itself to use on problems of particular interest.

“Many everyday problems require quick, approximate answers. Street-Fighting Mathematics teaches a crucial skill that the traditional science curriculum fails to develop: how to obtain order-of-magnitude estimates for a broad variety of problems. This book will be invaluable to anyone wishing to become a better informed professional.”

—eriC mazur,BalkanskiProfessorofPhysics andofAppliedPhysics,HarvardUniversity

Contents: Foreword. Preface. Dimensions. Easy cases. Lumping. Pictorial Proofs. Taking Out the Big Part.Analogy.Bibliography.Index.

street-fighting mathematiCs the art of educated guessing and opportunistic problem solving

sanJoy mahaJanForeword by CARVERA.MEAD

152 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4254-5 / ` 150.00


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This book offers an overview of key recent advances in cognitive electrophysiology which concern the study of the brain’s electrical and magnetic responses to both external and internal stimuli. These can be measuredusingelectroencephalograms(EEGs)andmagnetoencephalograms(MEGs).

The chapters highlight the increasing overlap in EEG and MEG analytical techniques, describing severalmethods applicable to both. The text discusses recent developments, including reverse correlation methods in visual-evoked potentials and a new approach to topographic mapping in high density electrode montage—relating the latest thinking on design aspects of ECG and MEG studies, in particular how tooptimize the signal to noise ratio as well as statistical developments for maximizing power and accuracy indataanalysisusingrepeatedmeasureANOVAS.

Contents:Contributors.Preface.ReverseCorrelationandtheVESPAMethod—EdmundC.Lalor,BarakA.Pearlmutter,andJohnJ.Foxe.PrinciplesofTopographicAnalyses forElectricalNeuroimaging—MicahM.Murray, Marzia De Lucia, Denis Brunet, and ChristophM. Michel. Noninvasive Estimation of Local FieldPotentials:MethodsandApplications—RolandoGravedePeraltaMenendez,MicahM.Murray,GregorThut,TheodorLandis,andSaraL.GonzalezAndino.APracticalGuidetoBeamformerSourceReconstructionforEEG—Jessica J. Green and John J. McDonald. A Practical Guide to MEG and Beamforming—Anthony T.Herdman and Douglas Cheyne. Dynamic Causal Modeling for Evoked Responses—Stefan J. Kiebel, MartaI.Garrido,andKarlJ.Friston.SynchronizationAnalysis inEEGandMEG—LawrenceM.WardandSamM.Doesburg. Procedures and Strategies for Optimizing the Signal-to-Noise Ratio in Event-Related PotentialData—DurkTalsmaandAnne-LauravanHarmelen.StatisticalStrategiesforTranslationalERPStudies—ToddC.Handy,LindsayS.Nagamatsu,MarlaJ.S.Mickleborough,andTeresaY.L.Liu-Ambrose.Index.

Brain signal analysis: advances in neuroelectric and neuromagnetic methods

Edited by:toDD C. hanDy is Associate Professor in Psychology Department at the University of British Columbia, where he runs the Neuroimaging Lab.

272 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4297-2 / ` 325.00

meDiCine

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Dynamic Logic is a formal system for reasoning about programs and it also enjoys the singular advantage of being strongly related to classical logic. Traditionally, this has meant formalizing correctness specifications aremetbyaparticularprogram.ThisbookpresentsacomprehensiveintroductiontoDynamicLogic(DL).It can be described as a blend of three complementary classical ingredients: first-order predicate logic, modal logic, and the algebra of regular events. These components merge to form a system of remarkable unity that is theoretically rich as well as practical.

Thetext isdivided intothreeparts:Part I reviewsthe fundamentalconceptsof logicandcomputabilitytheorythatareneededinthestudyofDynamicLogic.PartIIdiscussesPropositionalDynamicLogicanditsvariants,andPartIIIdiscussesFirst-OrderDynamicanditsvariants.Examplesareprovidedthroughout,and a collection of exercises and a short historical section are included at the end of each chapter.

The book will be well suited for the students of computer science and those pursuing postgraduate courses in philosophy.

Contents: Preface. i: funDamental ConCepts—Mathematical Preliminaries. Computability andComplexity. Logic. Reasoning About Programs. ii: propositional DynamiC logiC—PropositionalDynamic Logic. Filtration and Decidability. Deductive Completeness. Complexity of PDL. Nonregular PDL.OtherVariantsofPDL.iii: first-orDer DynamiC logiC—First-OrderDynamicLogic.RelationshipswithStaticLogics.Complexity.Axiomatization.ExpressivePower.VariantsofDL.OtherApproaches.References.Notation and Abbreviations. Index.

DynamiC logiC

DaviD harel, The Weizmann Institute.Dexter kozen, Cornell University.Jerzy tiuryn, University of Warsaw.

476 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3171-6 / ` 295.00

philosophy

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Thewriters includedinthiscomprehensivebook,rangefromAristotle,Descartes,andWilliamJamestosuchleadingcontemporarythinkersasNoamChomsky,PaulandPatriciaChurchland,andJaegwonKim.Theeighty-three selections provide a thorough survey of five areas of enduring controversy: the mind-body problem, mental causation, mental content, innatism and modularity, and associationism and connectionism. Each sec-tion includes an introductory overview of the topic by the editors as well as suggestions for further reading.

The selections added for the second edition serve both to enhance historical coverage and to update contemporary issues, especially in areas of current empirical research such as connectionism and innatism. Changes to historical coverage include a wider array of readings on classic positions as well as neglected precursors to views often considered recent innovations. The section on the mind-body problem in particular has been greatly expanded, including numerous selections on consciousness and qualia.

The book is ideal for graduate courses in philosophy and the history of psychology. It is eminently suited as a reference for researchers and as a self-contained survey for the general reader.

Contents: Preface to the Second Edition. Sources. I: The Mind–Body Problem—Introduction. A: Classic Positions. FromMetaphysics, Book7,andOn the Soul, Book2.FromMeditations on First Philosophy II and VI and Replies to Objections II. FromAn Essay Concerning Human Understanding.FromThe Principles of Human Knowledge.FromThe Monadology. FromMan a Machine. FromPositivism. FromA System of Logic. From“Does ‘Consciousness’ Exist?”. From“TheProvinceof FunctionalPsychology”. FromThe Concept of Mind.B:Materialism(s): Function,Reduction, andElimination. Is Consciousness aBrainProcess? The Nature of Mental States. Troubles with Functionalism (revised). Minds, Brains, and Programs. EliminativeMaterialismandthePropositionalAttitudes.FromNeurophilosophy.MultipleRealizationandtheMetaphysicsofReduction.FromLanguage and Problems of Knowledge.FromThe Empirical Stance.C:MindandSubjectiveExperience.FromMind and the World Order.From“The‘Mental’andthe‘Physical’’’.SensationsandBrainProcesses.WhatIsItLiketoBeaBat?FunctionalismandQualia. From“IdentityandNecessity”. Form, Function, andFeel. EpiphenomenalQualia. CanWeSolve theMind–BodyProblem? Physicalism and the Cognitive Role of Acquaintance. II: Mental Causation—Introduction. From The Passions of the Soul.FromThe Search after Truth.ANewSystemoftheNatureandtheCommunicationofSubstances.FromCritique of Pure Reason.From“OntheHypothesisThatAnimalsAreAutomata”.MentalEvents.MindMatters.MakingMindMatterMore.TheMythofNonreductiveMaterialism. Causation in the PhilosophyofMind. From “Physicalism froma Probabilistic Pointof View”. III: Mental Content—Introduction. FromOn the Soul, Book 3. FromMeditations on First Philosophy and Replies to Objections I-IV. From An Essay Concerning Human Understanding. From A Treatise of Human Nature. From Discourse on Metaphysics and Correspondence with Arnauld. From “How to Make Our Ideas Clear”. From “The Theory of Objects”. FromThe Problems of Philosophy. From Mind and the World Order. From “The Meaning of ‘Meaning’”. From “Individualism andtheMental”.MethodologicalSolipsismConsideredasaResearchStrategy inCognitivePsychology.Misrepresentation. From“(Nonsolipsistic) Conceptual Role Semantics”. Social Content and Psychological Content. Wide Computationalism. From A Slim Book on Narrow Content.IV:InnatenessandModularity—Introduction.FromThe Meno.FromPosterior Analytics, Book II, Chapter 19. From Replies to Objections V and “Notes Directed against a Certain Program”. From An Essay Concerning Human Understanding. From New Essays on Human Understanding. From Phrenology. From The Language of Thought. The PsychogenesisofKnowledgeandItsEpistemologicalSignificance.OnCognitiveStructuresandTheirDevelopment:AReplytoPiaget.WhatIsInnateandWhy:CommentsontheDebate.FromRules and Representations. FromModularity of Mind. Against Modularity.TheModularityofThoughtandtheEpidemiologyofRepresentations.DissociationandModularity:ReflectionsonLanguageandMind.V:AssociationismandConnectionism—Introduction.FromLeviathan.FromAn Essay Concerning Human Understanding. From A System of Logic. From The Principles of Psychology. The Appeal of Parallel Distributed Processing.Connectionism and Cognitive Architecture: A Critical Analysis. The Constituent Structure of ConnectionistMental States:AReply toFodorandPylyshyn.Connectionismand theProblemofSystematicity:WhySmolensky’sSolutionDoesn’tWork.What Is the “D” in “PDP”?ASurveyof theConceptofDistribution.Connectionism,Eliminativism,and theFutureof FolkPsychology.Index.

philosophy of minD, the: Classical problems/Contemporary issues, 2nd ed.Edited by:Brian Beakley and peter luDloW

1076 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3315-4 / ` 595.00

philosophy

The Philosophy of Mind remains the only sourcebook of primary readings offering in-depth coverage of both historical works and contemporary controversies in philosophy of mind. This second edition provides an expanded treatment of classical as well as current topics, with many additional readings and a new section on mental content.

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This text offers an introduction to quantum computing, with special emphasis on basic quantum physics, experiments, and quantum devices. It explains the requisite quantum physics in some depth, and then explains the devices themselves.

Quantum Computing without Magic covers the essential probability calculus; the qubit, its physics,manipulation and measurement, and how it can be implemented using superconducting electronics; quaternions and density operator formalism; unitary formalism and its application to Berry phase manipulation; the biqubit, the mysteries of entanglement, nonlocality, separability, biqubit classification, and the Schroedinger’s Cat paradox; the controlled-NOT gate, its applications and implementations; andclassical analogs of a quantum devices and quantum processes.

Quantum Computing without Magic can be used as a complementary text for physics and electronicengineering students studying quantum computing and basic quantum mechanics, or as an introduction and guide for electronic engineers, mathematicians, computer scientists, or scholars in these fields who are interested in quantum computing.

“Quantum Computing without Magic gives a refreshing and down-to-earth approach to quantum information as well as quantum devices, which will have a fundamental impact on the technology of the twenty-first century.”

—raymonD laflamme,CanadaResearchChairinQuantumInformationand DirectorInstituteforQuantumComputing,UniversityofWaterloo

Contents: Preface. Series Foreword. Preface. Bits and Registers. The Qubit. Quaternions. The UnitaryFormalism.TheBiqubit.TheControllednotGate.Yes,ItCanBeDonewithCogwheels.A:QuaternionsandPauliMatrices.B:BiqubitProbabilityMatrices.C:TensorProductsofPauliMatrices.References.Index.

quantum Computing Without magiC DeviCes

zDzislaW megliCki, who holds doctorate in electronic engineering and physics, is Senior Technical Advisor to the Office of Vice President for Information Technology at Indiana University.

444 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-3995-8 / ` 425.00

physiCs

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Innovationistherulingbuzzwordinbusinesstoday.Inthisbook,innovationexpertsPeterJ.DenningandRobertDunhaminformushowthechancesofaninnovativeidea’sbecomingsuccessfulcanbeincreased.Defining innovation as not simply an invention, but a policy and process that is to be managed, they explain that it is a personal skill that can be learnt, developed through practice, and extended into organizations. It is also the art of getting people to adopt change.

The authors identify and describe eight personal practices that all successful innovators perform: sensing, envisioning, offering, adopting, sustaining, executing, leading, and embodying. Together, these practices canboostafledglinginnovatortosuccess.Weaknessinanyofthesepractices,theyshow,blocksinnovation.

The authors Denning and Dunham describe innovation at scales ranging from the private (a familyorganizationof chores andallowances) to theplanetary (the inventionandadoptionof theWorldWideWeb).Theyprovideadetailedaccountoftheeightpracticesandhowtoaccomplishthem;andtheychartthe path to innovation mastery, from individual practices to teams and social networks.

“Truly innovative thinking about innovative thinking—but it’s the authenticity of the authors’ experience that makes this book uniquely valuable and valuably unique.”

—miChael sChrageResearchFellow,MITSloanSchoolCenterforDigitalBusiness

Contents: Preface. Acknowledgments. i foundations of innovation—Invention Is Not Enough. Generative Innovators in Action. Frames of Mind. Observing. ii the eight—Practices. PracticeOne: Sensing. Practice Two: Envisioning. Practice Three: Offering. Practice Four: Adopting. Practice Five: Sustaining. Practice Six: Executing. Practice Seven: Leading. Practice Eight:Embodying. iii Journey to mastery—Building a Culture of Innovation. Mastering the Mess. Social Networking and Innovation. Dispositions of the Masters. Epilogue: Stradivarius Street. Appendix1 Eight Practices Summary Chart. Appendix 2 Eight Practices Assessment Tool. Appendix 3 Levels ofPerformanceatInnovation.Appendix4SomaticExercises.AbouttheAuthors.Index.

innovator’s Way, the essential practices for successful innovationpeter J. Denning is Distinguished Professor, Chair of the Computer Science Department, and Director of the Cebrowski Institute for Information Innovation and Superiority at the Naval Postgraduate School in Monterey, California.roBert Dunham, founder, Institute for Generative Leadership and the consulting company Enterprise Performance.

Foreword by JOHNSEELYBROWN

460 pp. / 15.3 × 22.9 cm / IsBN-978-81-203-4487-7 / ` 595.00

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TheGeneticsofCognitiveNeuroscienceaimstogivethereaderaworkingunderstandingoftheinfluenceof specific genetics variants on cognition, affective regulation, personality, and central nervous system disorders.

It has been known that the aspects of behavior runs in families; studies shows that characteristics related to cognition, temperament, and all major psychiatric disorders are heritable.

The book offers a primer on understanding the genetic mechanisms of such inherited traits.

The chapters emphasize fundamental issues regarding the design of experiments, the use of bioinformatics tools, the integration of data from different levels of analysis and the validity of finding, arguing that association between genes and cognitive processes must be replicable and placed in a neurobiological context for validation.

Contents: Preface. Introduction. i. methodologies for genetic association studies of Cognition—Molecular Genetics and Bioinformatics: An Outline for Neuropsychological Genetics—Lucas Kempfand Daniel R. Weinberger. Statistical Methods in Neuropsychiatric Genetics—Kristin K. Nicodemusand Fengyu Zhang. Animal Models of Genetic Effects on Cognition—Francesco Papaleo, Daniel R.Weinberger, and Jingshan Chen. ii genetic approaches to individual Differences in Cognition and affective regulation—The Genetics of Intelligence Danielle Posthuma—Eco J.C. de Geus, and IanJ-Deary.CandidateGenesAssociatedwithAttentionandCognitiveControl—JohnFossella,JinFan,and Michael I. Posner. Genetics of Corticolimbic Function and Emotional Reactivity—Ahmad R. Hariri,Erika E. Forbes, andKristin L.Bigos.GenesAssociatedwith IndividualDifferences in CognitiveAging—Terry E. Goldberg and Venkata S. Mattay. iii genetic studies of Cognition and treatment response in neuropsychiatric Disease—Genetics of Dyslexia: Cognitive Analysis, Candidate Genes, Comorbidities,and Etiologic Interactions—Bruce F. Pennington, Lauren M. McGrath, and Shelley D. Smith. CognitiveIntermediatePhenotypesinSchizophreniaGenetics—GaryDonohoe,TerryE.Goldberg,andAidenCorvin.TheGenetic Basis for the CognitiveDeterioration of Alzheimer’s Disease—JohnM. Ringman and JeffreyL.Cummings.PharmacogeneticApproachestoNeurocognitioninSchizophrenia—KatherineE.Burdickand AnilK.Malhotra.Contributors.Index.

genetiCs of Cognitive neurosCienCe, theEdited by:terry e. golDBerg is Professor of Psychiatry and Behavioral Sciences at Albert Einstein College of Medicine and Director of Neurocognitive Research at the Zucker Hillside Hospital’s Psychiatry Research Division and the Litwin Zucker Alzheimer’s Research Center at the Long Island Medical Center in Manhasset, New York.Daniel r. WeinBerger is Chief of the Clinical Brain Disorders Branch and Director of Genes, Cognition, and Psychosis Program at the National Institute of Mental Health of the National Institutes of Health in Bethesda, Maryland.

312 pp. / 17.8 × 23.5 cm / IsBN-978-81-203-4299-6 / ` 295.00

psyChology

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This concise text discusses the history of modern psychology from the late nineteenth century to the end of twentieth century. Among other topics, the book also examines the emergence of a new branch called cognitive psychology.

Key Features• The book attempts to place recent history of psychology in the context of the general social and

political culture in which it occurs.

• Thetextpresentsthematerialmainlyasanorganizationalaccountofpsychologicalprocesses.

• Thebooktracestheevolutionofexperimentalandtheoreticalpsychology.

Contents: Preface. Acknowledgments. Introduction. The Modern Mind: Its History and Current Use.AristotletoAlexanderBain:ProlegomenaofModernPsychology.TheSocialContextfortheNewPsychologyin theNineteenthandTwentiethCenturies.TheBirthofModernPsychology:WilhelmWundtandWilliamJames.The“Discovery”oftheUnconscious:ImagelessThought.TheEarlyTwentiethCentury:ConsolidationinEuropeandBehaviorisminAmerica.TheInterwarYears:PsychologyMaturesandTheoriesAbound.TheDestruction of Psychology in Germany, 1933 to 1945. The Success of Gestalt Theory and Its TranslationtotheUnitedStates.ANewAgeofPsychologyattheEndofWorldWarII.TwoCaseHistories fromtheNew Psychology. Old Problems and New Directions at the End of the Century. The Clouded Crystal Ball:PsychologyTodayandTomorrow.References.NameIndex.SubjectIndex.

history of moDern experimental psyChology, afrom James and Wundt to Cognitive science

george manDler is distinguished Professor of psychology at the University of California, San Diego, and visiting Professor at the University College, London.

312 pp. / 13.9 × 21.6 cm / IsBN-978-81-203-3237-9 / ` 275.00

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This is an accessible introduction to study of cognitive science for undergraduate students. Cognitive Science is defined as the interdisciplinary study of mind and intelligence, embracing philosophy,psychology, artificial intelligence, neuroscience, linguistics and anthropology. The author Paul Thagardexplains the fundamental theories of cognitive science, describing systematically and evaluating the main theories of mental representation that have been advocated by cognitive scientists. The text includes logic, rules, concepts, analogies, images and connections (artificial neural networks),making it suitableeven for students who come together for its study from different fields ranging from computer science and engineering to psychology and philosophy.

Thesecondeditionistherevisedversionwithnewmaterialaddedtoit.PartIhasbeenupdatedtoincludethe recentwork in the field of theoretical approaches and in Part II new chapters are added on brain,emotion and consciousness. A list of related websites at the end of each chapter and glossary at the end of the book are a few more value added additions to the book.

The flavour of thefirst edition is of coursemaintainedwith each chapter still concludingwith a briefsummary, discussion questions, notes, and suggestions for further reading.

“This little gem of a book has three major virtues. First, it is easy to read and easy to understand. Second, it clearly states the central thesis of cognitive science and precisely lays out the explanatory patterns underlying various theories of cognition. Third, the book is unique in its presentation of the material, arranging it along various types of knowledge representations such as rules, concepts, and images.”

—ashok goel, College of Computing, GeorgiaInstituteofTechnology

“The second edition of mind represents a significant advance for an already excellent book. My enthusiasm for continuing to use Thagard’s accessible and consistently informative volume for Berkeley’s large Introduction to Cognitive Science course has been fully refreshed, as the updates in the new edition have made it a superb text for undergraduates.”

—MicHael raNNey,GraduateSchoolofEducation,DepartmentofPsychology,andtheInstituteforCognitiveandBrainSciences,UniversityofCalifornia,Berkeley

Contents: Preface. Acknowledgments. part i: approaChes to Cognitive sCienCe—RepresentationandComputation.Logic.Rules.Concepts.Analogies.Images.Conections.ReviewandEvaluation.part ii: extensions to Cognitive sCienCe—Brains. Emotions. Consciousness.Bodies, theWorld, andDynamicSystems.Societies.TheFutureofCognitiveScience.Glossary.References.Index.

minDintroduction to Cognitive science, 2nd ed.

paul thagarD, Professor of Philosophy, Director of Cognitive Science Program, University of Waterloo.

280 pp. / 15.3 × 22.9 cm / IsBN-81-203-3003-X / ` 150.00

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Certain ideas have thoughtful thinkers since ancient times. In this book, the author examines these ideas inthewritingsofthinkersfromoldentimestothepresentday.Hearguesfortheirimportancenotjustasprecursors of modern views but as ideas that are frequently better than the current ones.

The text offers breadth and depth, an engaging style and thorough scholarship, demonstrating the relevance of the great psychological thinkers.

“John Malone has written a splendid book! A lively, readable and vigorous defense of history. It covers a wide sweep from the early Greeks through Roman and Christian philosophy and the Enlightenment to modern developments such as cognitivism and behaviorism. It is both informative and critical, full of apercus that clobber their targets with force and grace. I hope that Malone’s book may do for psychology what Bertrand Russell’s historical opus did for philosophy. Read it.”

— J.e.r. staDDon

“This lucid book takes a fresh look at the individuals and ideas that comprise the history of psychology. Referring to the original theoretical and empirical sources, Malone questions many standard interpretations and received ideas, and provides enlightening ones of his own.”

— hoWarD raChlin

Contents: Preface and Acknowledgments. History, Psychology, and Science. Science and Psychologyin Ancidnet Greece. Static’s and Dynamics in Ancient Greece. From Aristotle to the Enlightment:Pagan Psychologies Give Way to Christianity. The Enlightenment. British Empricism and Kant: What IsReality?. Scottish and English Practical Psychology. Darwin and Evolutionary Thinking. Nineteenth-Century Science and Psychology’s Rise. Biological Psychology: A Brief History. The New Psychology:Wundt, Würzburg, and Müller. Early-Twentieth-Century Psychology: Titchener and Freud. Pragmatism,Functionalism, Peirce, and James. Twentieth-Century Applied Psychology and Early Behaviorism. Gestalt psychology and Kurt Lewin. Science, Application, and Theory: Pavlov, Guthrie, and Hull. RadicalBehaviorismandCognitiveScience:ContrastingPsychologiesoftheTwentieth-Century?References.Notes. Index.

psyChologypythagoras to present

John C. malone, Professor of Psychology, University of Tennessee, Knoxville.

572 pp. / 15.3 × 22.9 cm / isBn-978-81-203-4121-0 / ` 450.00

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Barro: Macroeconomics, 5th ed., 55 795.00

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BeaKLey & LudLow (eds.): Philosophy of Mind, The—Classical Problems/Contemporary issues, 2nd ed., 84 595.00

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deNNING & duNham: innovator’s Way, The: Essential Practices for Successful innovation, 86 595.00

dorIGo & stÜtZLe: Ant Colony optimization, 14 325.00

dyBVIG: Scheme Programming language, The, 4th ed., 38 395.00

Fay: introduction to Fluid Mechanics, 60, 69 350.00

Fayyad, et al.: Advances in Knowledge discovery and data Mining, 13 525.00

FeLLeIseN, et al.: how to design Programs—An introduction to Programming and Computing, 28 375.00

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haNd, maNNILa & smyth: Principles of data Mining, 35 375.00

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LarsoN: grammar as Science, 75 395.00

mahajaN: Street-Fighting Mathematics—The Art of Educated guessing and opportunistic Problem Solving, 81 150.00

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maNdLer: history of Modern Experimental Psychology, A—From James and Wundt to Cognitive Science, 88 275.00

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