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Book Reviews BookReviews Models of My Life Lee Gladwin Models of My Life, Herbert A. Simon, Alfred l? Sloan Foundation Series, Basic Books, New York, 1991, 415 pp., $26.95, ISBN 0-465-04640-l. Is reading Herb Simon’s delightful autobiography worth boarding t he wrong commuter train? It was for me. Written in an informal style, Models of My Life presents a li vely and insightful self-portrait of this father of AI. In keeping with his character, Simon uses the metaphor of the maze to describe his life: “In describing my life as mazelike, I do not mean that I have made a large number of deliber- ate, wrenching decisions to go off in one direction or another. On the contrary, I have made very few. Obvi- ous responses to opportunities and circumstances, rather than studied decisions, have put me on the partic- ular roads I have followed” (pp. xvii- xviii). With typical humor, he sug- gests that the reader, “looking for dangerous adventures, or minotaurs, or the heroism of a Theseus” (p. xviii), consider another book. Simon identifies four themes i n his life, each with its attendant maze: (1) scientist and teacher, including his careers as political scientist, organiza- tion theorist, economist, manage- ment scientist, computer scientist, cognitive psychologist, and philoso- pher of science; (2) private person; (3) “university politician, seeking to build an d shape the environment for his scientific work”; and (4) “science politician, concerned with the health of social science, with science as adviser to the polis” (p. xviii). These themes and mazes are divided into a “four-panel triptych,” covering his life to the present: Journey to a Twenty-First Birthday, The Scientist as a Young Man, View from the Mountain, and Research after Sixty. Each panel presents the reader with such colorful anecdotes as the follow- ing, which comes from the first panel: “Then there was the strawberry patch episode, which also seems to belong to Washington Island. Whether during his fourth summer or on some later occasion, the boy was among a party picking wild strawberries. The others filled their pails in a few minutes; there were only a few strawberries in the bottom of his. How could the others see the berries so easily amid the closely matching leaves? That was how he learned that strawberries are red and leaves green, and that he was color-blind” (p. 5). The stirrings of technical interests and the application of mathematics to the study of administrative behav- ior are taken up in later chapters that deal with his lif e as a student and graduate student at the University of Chicago. He set out to major in eco- nomics but switched to political sci- ence to avoid taking an accounting course requirement. At that time, Charles E. Merriman and the Poli tical Science Department were at “the vanguard of the behavioralism that erupted in political science.” Simon became a participant in this “scientif- ic revolution.” Participation shaped his views about the development of scientific disciplines and taught him the st rategies he “later employed in attacking orthodoxy in economics and psychology” and focused his “sights on the phenomena of human thinking and problem solving as the essential core of both organizational theory and economics.” Outside the Political Science Department, Simon fell under the influence of philosopher Rudolf Carnap and mathematician Henry Schultz. A paper written for Carnap was the genesis for what was to become “Administrative Behavior.” From a paper written for Schultz, he learned “that in empirical science the final test is not mathematical ele- gance or a priori plausibility, but the match between theory and data.” Extracurricular activities included attendance at guest lectures such as one given by Alfred North Whitehead: “I r epaired to Mandel Hall, the first row of the balcony, to hear his public lecture. I listened intently for an hour, and didn’t understand a word.” The Second Panel: The Scientist as a Young Man takes up Simon’s life after the University of Chicago and covers his research for the Internation- al City Managers’ Association, which introduced him t o IBM punched card equipment and programming (rewiring). This research experience convinced him of the need for an administrative theory based on obser- vation and experimentation rather than common sense. This belief led him to writ e his classic “Administra- tive Behavior” for his doctoral disser- tation, in which he introduced the concepts of bounded rationality and satisficing behavior. It also set his research agenda for more than 20 years. Early teaching experiences at the Illinois Institute of Technology and later contributions to the found- ing of Carnegie-Mellon’s Graduate School of Industrial Administration are also included in this panel. Cybernetics, early work in machine intelligence, and his own work with Allen Newell and Cliff Shaw on the LOGIC THEORIST are also descri bed in this second panel. In this and later work, they sought to simulate human problem solving a nd not simply to demonstrate “how computers could solve hard problems.” Unlike D. 0. Hebb, Edwin G. Boring, and later reductionists, Newell and Simon rejected the notion that “the explana- tory mechanisms” of behavior had “to be neurological, . . not because of in-principle opposition to reduc- tionism but because we believed that complex behavior can only be reduced to neural processes in succe s- sive steps, not in a single leap.” Subsequent chapters survey Newell and Simon’s work for the RAND Cor- poration and the Dartmouth Confer- ence (June 1956) as well as his work on the GENERAL PROBLEM SOLVER. Read- ers cannot help but be impressed by how much the story of Herb Simon is the hi story of AI. However, there is FALL 1992 89 AI Magazine Volume 13 Number 3 (1992) (© AAAI)

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Book Reviews

BookReviewsModels of My Life

Lee GladwinModels of My Life, Herbert A. Simon,Alfred l? Sloan Foundation Series,Basic Books, New York, 1991, 415pp., $26.95, ISBN 0-465-04640-l.

Is reading Herb Simon’s delightfulautobiography worth boarding thewrong commuter train? It was forme. Written in an informal style,Models of My Life presents a lively andinsightful self-portrait of this fatherof AI. In keeping w ith his character,Simon uses the metaphor of the mazeto describe his life: “In describing mylife as mazelike, I do not mean that Ihave made a large number of deliber-ate, wrenching decisions to go off inone direction or another. On thecontrary, I have made very few. Obvi-ous responses to opportunities andcircumstances, rather than studieddecisions, have put me on the partic-ular roads I have followed” (pp. xvii-xviii). With typical humor, he sug-gests that the reader, “looking for

dangerous adventures, or minotaurs,or the heroism of a Theseus” (p. xviii),consider another book.

Simon identifies four themes in hislife, each with its attendant maze: (1)scientist and teacher, including hiscareers as political scientist, organiza-tion theorist, economist, manage-ment scientist, computer scientist,cognitive psychologist, and philoso-pher of science; (2) private person;(3) “university politician, seeking tobuild and shape the environment forhis scientific work”; and (4) “science

politician, concerned with the healthof social science, with science asadviser to the polis” (p. xviii). Thesethemes and mazes are divided into a“four-panel triptych,” covering hislife to the present: Journey to aTwenty-First Birthday, The Scientistas a Young Man, View from theMountain, and Research after Sixty.Each panel presents the reader withsuch colorful anecdotes as the follow-ing, which comes from the firstpanel:

“Then there was the strawberry

patch episode, which also seems tobelong to Washington Island.Whether during his fourth summeror on some later occasion, the boywas among a party picking wildstrawberries. The others filled theirpails in a few minutes; there wereonly a few strawberries in thebottom of his. How could the otherssee the berries so easily amid theclosely matching leaves? That washow he learned that strawberriesare red and leaves green, and thathe was color-blind” (p. 5).

The stirrings of technical interestsand the application of mathematicsto the study of administrative behav-ior are taken up in later chapters thatdeal with his life as a student andgraduate student at the University ofChicago. He set out to major in eco-nomics but switched to political sci-ence to avoid taking an accountingcourse requirement. At that time,Charles E. Merriman and the PoliticalScience Department were at “thevanguard of the behavioralism that

erupted in political science.” Simonbecame a participant in this “scientif-ic revolution.” Participation shapedhis views about the development ofscientific disciplines and taught himthe strategies he “later employed inattacking orthodoxy in economicsand psychology” and focused his“sights on the phenomena of humanthinking and problem solving as theessential core of both organizationaltheory and economics.”

Outside the Political ScienceDepartment, Simon fell under the

influence of philosopher RudolfCarnap and mathematician HenrySchultz. A paper written for Carnapwas the genesis for what was tobecome “Administrative Behavior.”From a paper written for Schultz, helearned “that in empirical science thefinal test is not mathematical ele-gance or a priori plausibility, but thematch between theory and data.”

Extracurricular activities includedattendance at guest lectures such asone given by Alfred North Whitehead:

“I repaired to Mandel Hall, the first

row of the balcony, to hear his publiclecture. I listened intently for anhour, and didn’t understand a word.”

The Second Panel: The Scientist asa Young Man takes up Simon’s lifeafter the University of Chicago andcovers his research for the Internation-al City Managers’ Association, whichintroduced him to IBM punchedcard equipment and programming(rewiring). This research experienceconvinced him of the need for anadministrative theory based on obser-vation and experimentation ratherthan common sense. This belief ledhim to write his classic “Administra-tive Behavior” for his doctoral disser-tation, in which he introduced theconcepts of bounded rationality andsatisficing behavior. It also set hisresearch agenda for more than 20years. Early teaching experiences atthe Illinois Institute of Technologyand later contributions to the found-ing of Carnegie-Mellon’s GraduateSchool of Industrial Administrationare also included in this panel.

Cybernetics, early work in machineintelligence, and his own work withAllen Newell and Cliff Shaw on theLOGIC THEORIST are also described inthis second panel. In this and laterwork, they sought to simulate humanproblem solving and not simply todemonstrate “how computers couldsolve hard problems.” Unlike D. 0.Hebb, Edwin G. Boring, and laterreductionists, Newell and Simonrejected the notion that “the explana-tory mechanisms” of behavior had“to be neurological, . . not because

of in-principle opposition to reduc-tionism but because we believedthat complex behavior can only bereduced to neural processes in succes-sive steps, not in a single leap.”

Subsequent chapters survey Newelland Simon’s work for the RAND Cor-poration and the Dartmouth Confer-ence (June 1956) as well as his workon the GENERAL PROBLEM SOLVER.Read-ers cannot help but be impressed byhow much the story of Herb Simon isthe history of AI. However, there is

FALL 1992 89

AI Magazine Volume 13 Number 3 (1992) (© AAAI)

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BookRniws

more to his life, much more, as sug-gested by these selected chapterheadings: “Building a BusinessSchool: The Graduate School ofIndustrial Administration,” “Researchand Science in Politics,” “Creating aUniversity Environment for Cogni-tive Science and A.I.,” “The Scientistas Politician,” ” Foreign Adventures,”“From Nobel to Now,” “The AmateurDiplomat in China and the SovietUnion,” and “Guides for Choice.”

In The Fourth Panel: Research afterSixty, Simon turns inward and reflectson his philosophy of life. Guided byover 50 years of research in decisionmaking, he ultimately describes him-self as a maze runner, “a creature o fbounded rationality using heuristicsearch to find satisficing-‘goodenough’-courses of action.”

Readers interested in Herb Simonand the origins of AI will want toread this book, even if it means occa-sionally taking the wrong train.

Books Received

The following books were received bypress time:

n Abrahams, Paul, and Larson,Bruce. UNIX or the Impatient. Reading,Mass.: Addison-Wesley Publishing,1992. 559 pp. ISBN O-201-55703-7.

n Alshawi, Hiyan, ed. The Core Lan-guage Engine. Cambridge, Mass.: The

MIT Press, 1992. 322 pp. ISBN 0-262-01126-3

w Anthony, M., and Biggs, N. Com-putational Learning Theory. New York:Cambridge University Press, 1992.155 pp. ISBN o-521-41603-5.

n Anzai, Y. Pattern Recognition andMachine Learning. Boston: AcademicPress, 1992. 407 pp. ISBN O-12058830-7.

n Balaban, Mira; Ebcioglu, Kemal;and Laske, Otto. Understanding Musicwith AI: Perspectives on Music Cogni-

tion. Menlo Park, Calif; AAAI Press,1992. 512 pp. ISBN o-262-52170-9.

H Beynon-Davies, P. Expert DatabaseSystems: A Gentle Introduction. NewYork: McGraw-Hill, 1992. 186 pp.ISBN o-07-707240-3.

n Birmingham, William P.; Gupta,Anurag P.; and Siewiorek, Daniel P.Automating the Design of ComputerSystems: The MICON Project. Boston,Mass.: Jones and Bartlett Publishers,1992. ISBN O-86720-241-6.

n Blum, Bruce I. Software Engineering:

90 AI MAGAZINE

A Holistic View. New York: OxfordUniversity Press, 1992. 588 pp.$49.95. ISBN 0-19-507159-X.

n Butler, Christopher S., ed. Cornpzrt-ers and Written Texts. Cambridge,Mass.: Basil Blackwell, 1992. 306 pp.ISBN o-631-16381-6.

n Bradfield, Julian Charles. VerifyingTemporal Properties of Systems. Secau-cus, N.J.: Birkhauser Boston, 1992.

113 pp. $49.50. ISBN O-8176-3625-O.1 Churchland, Patricia S., andSejnowski, Terrence J. The Computa-tional Brain. Cambridge, Mass.: Brad-ford Books, 1992. 544 pp. $39.95.ISBN O-262-03 188-4.

w Desain, Peter, and Honing, Henk-lain. Music, Mind, and Machine: Stud-ies in Computer Music, MusicCognition, and Artificial Intelligence.Amsterdam: Thesis Publishers, 1992.ISBN 90-5170-149-7.

n Dinsmore, John. The Symbolic and

Connectionist Paradigms: Closing theGap. Hillsdale, New Jersey: LawrenceErlbaum Associates, 1992. 300 pp.ISBN O-8058-1080-3.

n Duranti, Alessandro; and Good-win, Charles. Rethinking Context: Lan-guage as an Interactive Phenomenon.Cambridge: Cambridge UniversityPress, 1992. 363 pp. ISBN O-521-38169-X.

w Farr, Marshall J., and Psotka,Joseph. Intelligent Instruction by Com-puter: Theory and Practice. Washing-ton, D.C.: Taylor & Francis, 1992.ISBN O-8448-1687-6.

n Gardenford, Peter. Belief Revision.New York: Cambridge UniversityPress, 1992. 277 pages. ISBN 0 521-412609.

n Gardin, Jean-Claude, and Peebles,Christopher. Representations inArchaeology. Bloomington, Indiana:Indiana University Press, 1992. 394pp. ISBN o-253-20709-6.

w Gray, Peter. Object-OrientedDatabases: A Semantic Data ModelApproach. Hertfordshire, England:Prentice-Hall, 1992. 237 pp. $37.95.ISBN o-13-630203-3.

n Hinrichs, Thomas R. Problem Solvingin Open Worlds: A Case Study in Design.Hillsdale, New Jersey: Lawrence Erl-baum Associates, 1992. 228 pp. ISBN0-8058-1228-S.

n Hoffman, Robert R. The Psychologyof Expertise: Cognitive Research andEmpirical AI. New York: Springer-Verlag, 1992. 395 pp. ISBN 0-387-97686-8.

w Holland, John H. Adaptation inNatural and Artificial Systems: AnIntroductory Analysis with Applicationsto Biology, Control, and Artificial Intel-ligence. Cambridge, Mass.: BradfordBooks, 1992. 211 pp. $14.95. ISBN O-262-58111-6 (paper). $30.00. ISBN O-262-08213-6 (cloth).

n Jubak, Jim. In the Image of theBrain: Breaking the Barrier between the

Human Mind and Intelligent Machines.New York: Little, Brown and Compa-ny, 1992. 348 pp. $24.95. ISBN 0-316-47555-6.

n Khatib, Oussama; Craig, John J.;and Lozano-Perez, Tomas. TheRobotics Review 2. Cambridge, Mass.:The MIT Press, 1992. 372 pp. ISBN O-262-11171-3.

n Koslow, Arnold. A StructuralistTheory of Logic. New York: CambridgeUniversity Press, 1992. 418 pp.$69.50 (cloth). ISBN O-521-41267-6.

n Leigh, J. R. Control Theory: AGuided Tour. London: Pete1 PeregrinusLtd., 1992. 180 pp. ISBN 0-86341-241-6.

n Leake, David B. Evaluating Explana-tions. Hillsdale, New Jersey: LawrenceErlbaum Associates, 1992. 260 pp.$94.95. ISBN 0-8058-1064-l.

D Leyton, Michael. Symmefry, Causality,Mind. Cambridge, Mass.: The MITPress, 1992. 630 pp. ISBN 0-262-12163-8.

n Lozano-Perez, Tombs; Jonas, Joseph

L.; Mazer, Emmanuel; and O’Don-nell, Patrick A. HANDLEY: A Robot TaskPlanner. Cambridge, Mass.: The MITPress, 1992. 227 pp. ISBN 0-262-12172-7.

n McKenna, Thomas; Davis, Joel;and Zornetzer, Steven, eds. SingleNeuron Computation. San Diego,Calif.: Academic Press, 1992. 644 pp.$55.00. ISBN 0-12-484815-X.

n Pearson, Jamie Parker, ed. Digital atWork: Snapshots from the First Thirty-Five Years. Burlington, Mass.: DigitalPress, 1992. 212 pp. $19.95. ISBN O-

13-213489-6.

n Rogers, Yvonne; Rutherford,Andrew; and Bibby, Peter A., eds.Models in the Mind: Theory Perspective,and Application. London: AcademicPress, 1992. ISBN o-12-592970-6.

n Sleeman, D.; and Bernsen, N.Research Directions in Cognitive Sci-ence: European Perspectives. Volume 5.Hillsdale, N.J.: Lawrence ErlbaumAssociates, Inc., 1992. 339 pp. ISBNO-86377-176-9.

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n Snyder, Wayne. A Proof Theory forGeneral Unification. Secaucus, N.J.:Birkhzuser Boston, 1992. 175 pp.$44.50. SBN O-8176-3593-9.

n Suppes, Patrick. Language forHumans and Robots. Oxford, UnitedKingdom: Blackwell, 1992. 417 pp.,ISBN O-631-18262-4

= Tong, Christopher; and Sriram,Duvvuru. Artificial Intelligence in Engi-

neering Design, Vo lume 2. Boston: Aca-demic Press, 1992. 388 pp. ISBNo-12-660562-79

w Tong, Christopher; and Sriram,Duwuru. Artificial Intelligence in Engi-neering Design, Volume 3. Boston: Aca-demic Press, 1992. 388 pp. ISBNo-12-660563-7.

n Van der Hoek, W.; Meyer, J.-J.; Tan,Y. H.; and Witteveen, C. Nonrnono-tonic Reasoning and Partial Semantics.New York: ELLIS Horwood, 1992. 238pp. ISBN O-13-625146-3

n Varela, Francis0 J., and Bourgine,Paul, eds. Toward a Practice ofAutonomous Systems: Proceedingsof theFirst European Conference on ArtificialLife. Cambridge, Mass.: The MITPress, 1992. 515 pp. ISBN 0-262-72019-1.

1 Warwick, K.; Irwin, G. W.; andHunt, K. J. Neural Networks for Controland Systems. London: Peter Peregri-nus Ltd., 1992. 260 pp. ISBN O-86341-279-3.

Attention Authors!

If you would like us to consideryour book for review, have yourpublishers send a review copy to AIMagazine, 445 Burgess Drive, MenloPark, CA 94025. We’ll include it inthe next books received column.Receipt of a review copy, of course,doesn’t guarantee a review!

AutomatingSoftwareDesign

edited by Michael Lowry

& Robert McCartney

The contributions inAutomting SoftwareDesigprovide substantial evidencethat AI technology can meetthe requirements f the largepotential market that will

exist for knowledge-basedsoftware engineering at the

turn of the century.They aredivided into sections cover-ing knowledge-basedools forlarge software systems,knowledge-based

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All of the contributions in thisbook have a practical slant,showing how AI has been suc-

cessfully applied to a widespectrumof domainsand tasks.They provide an excellent sam-pling of the types of applica-tions coming on line. Systemsarchitecturesand developmentstrategiesare addressedalongwith tactical issues, paybackdata, and real benefits.

Featuringapplications n:l Aerospacel Bankingand Financel Medial Musicl Militaryl OperationsManagementl PersonnelManagementl RetailPackaging

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FALL 1992 91