references3a978-1-4615-2353-6%2f… · references in the first section, the citations refer to...

References

In the first section, the citations refer to works of general interest to researchers and developers of hybrid system and include basic works about the individual intelligent technologies. Subsequent sections are organized into categories for the different combinations of technologies that form the basis for the various hybrid systems.

General References: Hybrid Systems and Individual Technologies

AAAI (1990), Integrating Symbolic and Neural Processes, Workshop Notes from the AAAI Eighth National Conference on Artificial Intelligence, Boston, 1990.

Allen, B. P. (1994), "Case-based reasoning: business applications," Communications of the ACM, vol 37, no. 3, pp. 40-42.

Allman, W. (1989), Apprentices of Wonder, Bantam Books, New York.

Bailey, D. L., Thompson, D. M, and Feinstein, 1. L., (1988), "The practical side of neural networks," PC AI, vol 4, no. 6, pp. 33-36.

Bailey, D. L. and Thompson, D. M. (1990), "How to develop neural-network applications," AI Expert, vol 5, No.9, pp. 34-41.

Barnden, J. (ed) (1991), Advances in Connectionist and Neural Computation Theory, Ablex.

Barnden, J. (1992), "Belief representation and connectionism," in [Sun, Bookman, and Shekhar, 1992] at pp. 106-114.

Beale, R., and Jackson, T. (1990), Neural Computing, Adam Hilger, Bristol, England.

Bezdek, J. C. (1994), "What is computational intelligence?," in [Zurada, Marks, and Robinson, 1994] at pp. 1-12.

242 Hybrid Intelligent Systems

Bhatnagar, R., and Kanal, L. (1992), "Reasoning in uncertain domains: a survey and commentary," in Encyclopedia of Computer Science and Technology, Marcel Dekker Inc., New York.

Bookman, L. A. (1992), "A two-tier framework for comprehension," in [Sun, Bookman, and Shekhar, 1992] at pp. 66-74.

Brachman, R. J., Gilbert, V. P., Levesque, H. J. (1985), "An essential hybrid reasoning system: knowledge and symbol level accounts of KRYPTON," Proceedings of the Ninth International Joint Conference on Artificial Intelligence, Los Angeles, pp. 532-539.

Callan, J. P. (1990), "Automatic feature construction from domain information," in [AAAI, 1990] at p. 12.

Carpenter, G. and Grossberg, S. (1987), "A massively parallel architecture for a self-organizing neural pattern recognition machine," Computer Vision, Graphics and Image Processing~ 37, 54-115.

Caudill, M. (1987), "Neural networks primer: part I," AI Expert, vol 2, no 12, pp. 46-52.

Caudill, M. (1988), "Neural networks primer: parts II-V," AI Expert, vol 3, nos. 2,6,8, and 11.

Caudill, M. (1989), "Neural networks primer: part I," AI Expert, vol 4, nos. 2 and 5.

Caudill, M, and Butler, C. (1990), Naturally Intelligent Systems, MIT Press, Cambridge, MA.

Caudill, M. (1991a), "Neural network training tips and techniques," AI Expert, vol 6, no.l, pp. 56-61.

Caudill, M. (1991b), "Embedded neural networks," AI Expert, vol 6, no. 4, pp. 40-45.

Chambers, L. D. (ed) (1995), Practical Handbook of Genetic Algorithms: Applications and Implementations, vol 1, CRC Press, Boca Raton, FL.

Charniak, E. (1991), "Bayesian networks without tears," AI Magazine, Winter, pp. 50-63.

Cohn, A. G. (1989), "Taxonomic reasoning with many-sorted logics," Artificial Intelligence Review, vol 3, pp. 89-128.

References 243

Davis, L. (ed) (1991), Handbook of Genetic Algorithms, Van Nostrand Reinhold, New York.

Frisch, A. M. and Cohn, A. (1991), "Thoughts and afterthoughts on the 1988 workshop on principles of hybrid reasoning," AI Magazine, vol 11, no. 5, pp. 77-83.

Frisch, A. M. and Scherl, R. B. (1991), "A bibliography on hybrid reasoning," AI Magazine, vol 11, no. 5, pp. 84-87.

Fu, L. (1992), "A parallel approach for knowledge-based inference and learning," in [Kandel and Langholz, 1992] at pp. 88-103.

Fukuda, T., and Shibata, T. (1994), "Fuzzy-neural-GA based intelligent robotics," in [Zurada, Marks, and Robinson, 1994] at pp. 352-363.

Gallant, S. I. (1993), Neural Network Learning and Expert Systems, MIT Press, Cambridge, MA.

Garson, G. D. (1991), "Interpreting Neural-Network Connection Weights," AI Expert, vol 6, no. 4, pp. 47-51.

Glover, D. E. (1988), "An optical fourier/electronic neurocomputer automated inspection system." Proceedings of the IEEE International Conference on Neural Networks, pp. 569-576.

Goldberg, D. E. (1994), "Genetic and evolutionary algorithms come of age," Communications of the ACM, vol 37, no. 3, pp. 113-119.

Gomi, T., and Nakamura, N. (1990), "The integration of symbolic and subsymbolic processes in the design of an autonomous vehicle," in [AAAI, 1990] at p. 18.

Grefenstette, J. J. (1993), "Genetic Algorithms," IEEE Expert, vol 8, no. 5, pp. 5-8.

Harston, C.T. (1990), "Applications of neural networks to robotics," in [Maren, Harston, and Pap, 1990] at pp. 381-385.

Hayes-Roth, F., and Jacobstein, N. (1994), "The state of knowledge-based systems," Communications of the ACM, vol 37, no. 3, pp. 27-39.

Hebb, D. O. (1949), The Organization of Behavior, Wiley, New York.

Hecht-Nielsen, R. (1989), "A theory of the back propagation network," Proceedings of the International Joint Conference on Neural Networks, vol I, Washington, DC, June 18-22, pp. 593-605.


Hecht-Nielsen, R. (1990), NeuroComputing, Addison-Wesley, Reading, MA.

Hendler, J. (1989a), "On the need for hybrid systems," Connection Science, vol 1, no. 3, pp. 227-229.

Hendler, J. (1989b), "Marker-passing over microfeatures: towards a hybrid symbolic/connectionist model," Cognitive Science, vol 13, no. 1, pp. 79-106.

Hendler, J. (1991), "Developing hybrid symbolic/connectionist models," in [Barnden, 1991] at pp. 165-179.

Honovar, V. (1990), "Toward generalized connectionist networks: an integration of symbolic and subsymbolic approaches to the design of intelligent systems," in [AAAI, 1990] at pp. 22-23.

Hopfield, J. (1982), "Neural Networks and Physical Systems with Emergent Collective Computational Abilities. Proceedings of the National Academy of Sciences USA, vol 79, pp. 141-152.

Hruska, S. I. (1994), "Building Expert Networks That Really Fly: Computational Issues," Proceedings of the IEEE International Conference on Neural Networks, IEEE World Congress on Computational Intelligence, Orlando, FL, pp. 1487-1492.

Jones, D. and Franklin, S. P. (1990), "Choosing a Network: Matching the Architecture to the Application," in [Maren, Harston, and Pap, 1990] at pp. 219-231.

Kanal, L. and Raghavan, S. (1992), "Hybrid Systems - A key to intelligent pattern recognition," Proceedings of the IJCNN, vol IV, Baltimore, pp. 177-183.

Kandel, A., and Langholz, G. (eds) (1992), Hybrid Architectures for Intelligent Systems, CRC Press, Boca Raton.

Keyes, J. (1991), "AI on a Chip," AI Expert, vol 6, no. 4, pp. 33-38.

Kohonen, T. (1984), Self Organization and Associative Memory, Springer-Verlag, Berlin.

Kohonen, T. (1988), "An Introduction to Neural Computing," Neural Networks, vol 1, no. 1, pp. 3-16.

Kosko, B. (1992), Neural Networks and Fuzzy Systems, Prentice Hall, Englewood Cliffs, NJ.

Kosko, B., and Dickerson, J. (1994), "Fuzzy virtual worlds," AI Expert, vol 9, no. 7, pp. 24-31.

References 245

Kuncicky, D. C., Hruska, S. I., and Lacher, R. C. (1991), "The equivalence of rule-based expert system and artificial neural network inference," International Journal of Expert Systems, vol 4, no. 1, pp. 281-297.

Lacher, R. C. (1992), "The symbolic/subsymbolic interface: hierarchical network organizations for reasoning," in [Sun, Bookman, and Shekhar, 1992] at pp. 17-22.

Lacher, R. C. (1993), "Expert Networks: Paradigmatic Conflict, Technological Rapprochement," Minds and Machines, vol 3, pp. 53-71.

Lacher, R. C., Hruska, S. I., and Kuncicky, D. C. (1992), "Backpropagation learning in expert networks," IEEE Transactions on Neural Networks, vol 3, no. 1, pp.62-72.

Lange, T. (1992), "Issues in controlling activation and inferencing for natural language understanding in structured connectionist networks," in [Sun, Bookman, and Shekhar, 1992] at pp. 31-38.

Lawrence, J. (1991), "Data Preparation for Neural Networks," AI Expert, vol 6, no. 11, pp. 34-41.

Lawton, G. (1992), "Genetic algorithms for scheduling optimization," AI Expert, vol 7, no. 5, pp. 23-27.

Lee, J. S. J., and Nguyen, D. D. (1991), "Adaptive algorithms and multilevel processing control in intelligent systems," in [Soucek, 1991] at pp. 407-434.

Lehnert, W. (1991), "Symbolic/subsymbolic sentence analysis: exploiting the best of two worlds," in [Barnden, 1991] at pp. 135-164.

Lippmann, R. P. (1987), "An Introduction to Computing with Neural Nets," IEEE ASSP Magazine, April, pp. 4-22.

Maren, A., Harston, C. T., and Pap, R. (eds) (1990), Handbook of Neural Computing Applications, Academic Press, San Diego.

Medsker, L. R. (ed.) (1991), Special Issue of Expert Systems with Applications: An International Journal, vol 2, no. 1.

Medsker, L. (1994), Hybrid Neural Network and Expert Systems, Kluwer Academic Publishers, Boston.

Medsker, L. and Liebowitz, J. (1994), Design and Development of Expert Systems and Neural Networks, Macmillan Publishing Company, New York.

Medsker, L. and Turban, E. (1992), "Neural Computing and Artificial


Intelligence," in [Turban, 1992] at pp. 621-663.

Minsky, M., and Papert, S. A. (1969), Perceptrons, MIT Press, Cambridge, MA.

Minsky, M. (1991), "Logical versus analogical or symbolic versus connectionist or neat versus scruffy," AI Magazine, vol 12, no. 2, pp. 35-51.

Munakata, T., and Jani, Y. (1994), "Fuzzy systems: an overview," Communications of the ACM, vol 37, no. 3, pp. 69-76.

Oxman, S. W., Dockery J. T. (1990), "The Synthetic Expert," PC AI, vol 4, no. 1, pp. 50-51.

Pinkas, G. (1992), "Representing unrestricted first-order logic formulas m connectionist networks," in [Sun, Bookman, and Shekhar, 1992] at pp. 23-30.

Reid, K., and Zeichick, A. (1992), "Neural Network Resource Guide," AI Expert, vol 7, no. 6, pp. 50-56.

Romaniuk, S. G., and Hall, L. O. (1991), "Injecting symbol processing into a connectionist model," in [Soucek, 1991] at pp. 383-405.

Rosenblatt, F. (1962), Principles ofNeurodynamics, Spartan, New York.

Roth, M. W. (1988), "Neural-Network Technology and Its Applications," Johns Hopkins APL Technical Digest, vol 9, no. 3.

Rumelhart, D. E., and McClelland, J. L. (eds) (1986), Parallel Distributed Processing, vol. 1, MIT Press, Cambridge, MA.

Rumelhart, D. E., Widrow, B., and Lehr, M. A. (1994), "The basic ideas in neural networks," Communications of the ACM, vol 37, no. 3, pp. 87-92.

Santiago, R. A., and Werbos, P. (1994), "New progress towards truly brain-like intelligent control," Proceedings of the World Congress on Neural Networks, vol I, San Diego, CA, June 5-9, pp. 27-33.

Shafer, G. and Logan, R. (1987), "Implementing Dempster's rule for hierarchical evidence," Artificial Intelligence, vol 33, pp. 271-298.

Sharkey, N. E. (1992), "The expanding role of superpositional representations in hybrid systems," in [Sun, Bookman, and Shekhar, 1992] at pp. 54-57.

Sherald, M. A. (1989), "Neural Networks versus Expert Systems," PC AI, vol 3, no. 4, pp. 10-15.

References 247

Soucek, B., and the IRIS Group (eds) (1991), Neural and Intelligent Systems Integration, John Wiley and Sons, New York.

Stickel, M. E. (1985), "Automated deduction by theory resolution," Journal of Automated Reasoning, vol 1, no. 4, pp. 333-355.

Stolke, A. and Wu, D. (1992), "Tree matching with recursive distributed representations," in [Sun, Bookman, and Shekhar, 1992] at pp. 58-65.

Sumida, R. A. (1992), "PDS networks: integrating localist and PDP approaches for natural language processing," in [Sun, Bookman, and Shekhar, 1992] at pp. 46-53.

Sun, R. (1991), "Integrating rules and connectionism for robust reasoning: a connectionist architecture with dual representation," Ph.D. dissertation, Brandeis University.

Sun, R. (1992), "Connectionist models of rule-based reasoning," In [Sun, Bookman, and Shekhar, 1992] at pp. 91-97.

Sun, R. (1994a), "Implementing schemas and logics in connectionist models," Proceedings of the First International Symposium on Integrating Knowledge and Neural Heuristics, Pensacola, FL, May 9-10, pp. 32-39.

Sun, R. (1994b), "CONSYDERR: a two-level hybrid architecture for structuring knowledge for commomsense reasoning," Proceedings of the IEEE International Conference on Neural Networks, vol III, IEEE World Congress on Computational Intelligence, Orlando, FL, June 28-July 2, pp. 1475-1480.

Sun, R. and Bookman, L. (1993), "How do symbols and networks fit together," AI Magazine, vol 14, no. 2, pp. 20-23.

Sun, R., Bookman, L. A., and Shekhar, S. (eds.) (1992), Integrating Neural and Symbolic Processes: The Cognitive Dimension, Working Notes from the AAAI92 Workshop Program, San Jose, CA, July 12-16, 1992.

Sun, R., and Waltz, D. (1991), "A neurally inspired massively parallel model of rule-based reasoning," in [Soucek, 1991] at pp. 341-381.

Towell, G., and Shavlik, J. W. (1992), "Interpretation of artificial neural networks: mapping knowledge-based neural networks into rules," in Advances in Neural Information Processing Systems, vol 4, Morgan Kaufmann, pp. 977-984.

Turban, E. (1992), Expert Systems and Applied Artificial Intelligence, New York: Macmillan Publishing Company.


Villa, M. F., and Reilly, K. D. (1992), "Hierarchical structures in hybrid systems," in [Kandel and Langholz, 1992] at pp. 222-254.

Wasserman, P. (1989), Neural Computing: Theory and Practice, New York: Van Nostrand Reinhold.

Werbos, P. (1989), "Backpropagation and neurocontrol: a review and prospectus," Proceedings of the International Joint Conference on Neural Networks, vol I, Washington, D.C., June 18-22, pp. 209-216.

Werbos, P. (1990), "Neurocontrol and related techniques," in [Maren, Harston, and Pap, 1990] at pp. 345-380.

Werbos, P. (1993a), "Brain-like intelligence in artificial models: how can we really get there?" INNS Above Threshold, vol 2, no. 2, pp. 8-12.

Werbos, P. (1993b), The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting, Wiley, New York.

Wermter, S., and Lehnert, W. G. (1989), "A hybrid symbolic/connectionist model for noun phrase understanding," Connection Science, vol 1, no. 3, pp. 255-272.

Wermter, S. (1992), "SCANning understanding: a hybrid and connectionist architecture," in [Sun, Bookman, and Shekhar, 1992] at pp. 83-90.

Wilson, A., and Hendler, J. (1993), "Linking symbolic and subsymbolic computing," Technical Research Report TR 93-12, Institute for Systems Research, University of Maryland.

Zadeh, L.A. (1965), "Fuzzy sets," Information and Control, vol. 8, pp. 338-353.

Zadeh, L.A. (1986), "A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination," AI Magazine, pp. 85-90.

Zadeh, L. A. (1994a), "Fuzzy logic, neural networks and soft computing," Communications of the ACM, vol 37, no. 3, pp. 77-84.

Zadeh, L. A. (1994b), "Fuzzy logic and the calculi of fuzzy rules, fuzzy graphs, and fuzzy probabilities," Proceedings of the World Congress on Neural Networks, vol I, San Diego, pp. 695-696.

Zurada, J. M., Marks II, R. J., and Robinson, C. J. (eds) (1994), Computational Intelligence: Imitating Life, IEEE Press, New York.

References 249

Case-Based Reasoning and Expert Systems

Bezirgan, A. (1992), "CBS-I: a case-based expert system for scheduling toy car production," Proceedings of Expersys-92, Artificial Intelligence and Expert Systems Applications, Houston, TX, and Paris, France, October 1-2, pp. 425-430.

Bonissone, P. P., and Ayub, S. (1992), "Similarity measures for case-based reasoning systems," Proceedings of the 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU '92 - Advanced Methods in Artificial Intelligence, Palma de Mallorca, Spain, July 6-10, pp. 161-172.

Brown, C .E., and Gupta, U. G. (1994), "Applying case-based reasoning to the accounting domain," International Journal of Intelligent Systems in Accounting, Finance and Management, vol 3, no. 3, pp. 205-221.

Bub, R., Henderson, W., Wrigley, D., and Wilson, J. (1994), "A case-based reasoning system for troubleshooting," Proceedings of the lEE Colloquium on Case Based Reasoning: Prospects for Applications, Digest No. 19941057, London, UK, March 3, p.511-9.

Foster, G. (1992), "Expert systems to help the help desk," Business Communications Review, vol 22, no. 10, pp. 40-43.

Gan, R., and Yang, D. (1994), "Case-based decision support system with artificial neural network," Computers & Industrial Engineering, vol 27, 16th Annual Conference on Computers and Industrial Engineering, Ashikaga, Japan, March 7-9, pp. 437-440.

Gonzalez, A. J., and Laureano-Ortiz, R. (1992), "A case-based reasoning approach to real estate property appraisal," Expert Systems with Applications, vol 4, no. 2, pp. 229-246.

Harmon, P. (1991), "Case-based reasoning II," Intelligent Software Strategies, vol 7, no. 12, pp. 1-9.

Hurley, N. (1994), "A priori selection of mesh densities for adaptive finite element analysis, using a case-based reasoning approach," Proceedings of the Fifth European Workshop, EWCBR-93, Topics in Case-Based Reasoning, Kaiserslautern, Germany, November 1-5, pp. 379-391.

Kamp, G. (1993), "Integrating semantic structure and technical documentation in case-based service support systems," Proceedings of the Fifth European Workshop, EWCBR-93, Topics in Case-Based Reasoning, Kaiserslautern, Germany, November 1-5, pp. 392-403.


Karamouzis, S. T., and Feyock, S. (1992), "An integration of case-based and model-based reasoning and its application to physical system faults," Proceedings of the 5th International Conference, IEAIAIE-92, Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Paderborn, Germany, June 9-12, pp. 100-108.

Karamouzis, S. T., and Feyock, S. (1993), "Case-based approach to handling aircraft malfunctions," Proceedings of the SPIE - The International Society for Optical Engineering, vol 1963, pp. 274-284.

Keen, M. (1993), "Real world applications of case-based reasoning," Proceedings of the lEE Colloquium on Case-Based Reasoning, Digest No. 036, London, UK, February 12, pp. 5/1-29.

Kowalski, A. (1991), "Case-based reasoning and the deep structure approach to knowledge representation," Proceedings of the Third International Conference on Artificial Intelligence and Law, Oxford, UK, June 25-28, pp. 21-30.

Lewis, L. M., Minior, D. V., and Brown, S. J. (1991), "A case-based reasoning solution to the problem of redundant engineering in large scale manufacturing," International Journal of Expert Systems Research and Applications, vol 4, no. 2, pp. 189-200.

Li, H., and Dahan, M. (1993), "A case-oriented expert system for materials handling," Proceedings of the COMPEURO'93, Pris-Evry, France, May 24-27, pp. 523-530. .

Magaldi, R. V. (1994), "CBR for troubleshooting aircraft on the flightline," Proceedings of the lEE Colloquium on Case Based Reasoning: Prospects for Applications, Digest No. 1994/057, London, UK, March 3, p. 6/1-9.

Minior, D. V., Lewis, L. M., and Brown, S. J. (1991), "Case-based reasoning for a decision support system in large-scale manufacturing," Proceedings of the International Symposium on Artificial Intelligence, Cancun, Mexico, November 13-15, pp. 98-104.

Nakamura, K., and Kobayashi, S. (1989), "An interactive case-based reasoning system for supporting machine adjustment," Proceedings of the 28th SICE Annual Conference, vol II, Matsuyama, Japan, July 25-27, pp. 1389-1392.

Nakamura, S., Okada, K., Itakura, S., Yasuda, K., Tada, N., and Yokoyama, R. (1993), "Layout designing of electrical equipment by case-based reasoning," Proceedings of the Conference on Expert System Application to Power Systems, Melbourne, Vic., Australia, January 4-8, pp. 153-158.

Owen, R. B., Holland, A. W., and Wood, J. (1993), "A prototype case-based

References 251

reasoning human assistant for space crew assessment and mission management," Proceedings of the SPIE - The International Society for Optical Engineering, vol 1963, pp. 262-273.

Price, C. J., Pegler, 1. S., and Bell, F. (1993), "Case based reasoning in the melting pot," International Journal of Applied Expert Systems, vol 1, no. 2, pp. 120-133.

Pu, P., and Reschberger, M. (1991), "Assembly sequence planning using casebased reasoning techniques," Proceedings of the ArtifiCial Intelligence in Design '91 Conference, Edinburgh, UK, June 25-27, pp. 171-187.

Rissland, E. L., Daniels, J. J., Rubinstein, Z. B., and Skalak, D. B. (1993), "Case-based diagnostic analysis in a blackboard architecture," Proceedings of the AAAI-93 and IAAI-93, Washington, DC, July 11-15, pp. 66-72.

Simoudis, E. (1991), "Knowledge acquisition in validated retrieval," International Journal of Expert Systems Research and Applications, vol 4, no. 3, pp. 299-315.

Simoudis, E., Ford, K., and Canas, A. (1992), "Knowledge acquisition in casebased reasoning: ... and then a miracle happens," Proceedings of the FLAIRS 92: Fifth Annual Florida AI Research Symposium, April 7-10, Fort Lauderdale, FL, pp. 273-277.

Stottler, R. H., Klinger, D. W., and LeClair, S. R., (1992), "A Case-Based Reasoning system for manufacturing bid preparation," Proceedings of the FLAIRS 92: Fifth Annual Florida AI Research Symposium, April 7-10, Fort Lauderdale, FL, pp. 267-272.

Sycara, K.P., and Miyashita, K. (1993), "Adaptive schedule repair," IFIP Transactions B (Applications in Technology), IFIP TC5/WG5.7, vol B-15, International Workshop on Knowledge-Based Reactive Scheduling, Athens, Greece, October 1, pp. 107-124.

Sycara, K. P. (1993), "Machine learning for intelligent support of conflict resolution," Decision Support Systems, vol 10, no. 2, pp. 121-36.

Tsutsui, H., Kurosaki, A., Sato, T., and Hiraide, Y. (1994), "Fault detection using topological case based modeling and its application to chiller performance deterioration," Proceedings of IEEE Instrumentation and Measurement Technology Conference - IMTC '94, vol 1, Hamamatsu, Japan, May 10-12, pp. 390-393.

Vo, D. P., and Macchion, D. (1993), "A use of case-based reasoning technique in building expert systems," Future Generation Computer Systems, vol 9, no. 4, pp. 311-319.


Vossos, G., Zeleznikow, J., Dillon, T., and Vossos, V. (1991), "An example of integrating legal case based reasoning with object-oriented rule-based systems: IKBALS II," Proceedings of the Third International Conference on Artificial Intelligence and Law, Oxford, UK, June 25-28, pp. 31-41.

Voss os, G., and Zeleznikow, J. (1992), "Improving automated litigation support by supplementing rule-based reasoning with case-based reasoning," Proceedings of the DEXA'92 International Conference on Database and Expert Systems Applications, Valencia, Spain, September 2-4, pp. 138-142.

Watson, I., and Abdullah, S. (1994), "Developing case-based reasoning systems: a case study in diagnosing building defects," Proceedings of the lEE Colloquium on Case Based Reasoning: Prospects for Applications, Digest No. 19941057, London, UK, March 3, pp. 1-3.

Whitaker, L. A., and Thordsen, M. L. (1990), "Aerospace applications for casebased reasoning," Proceedings of the IEEE 1990 National Aerospace and Electronics Conference, vol 3, Dayton, OH, May 21-25, pp. 1113-1116.

Yoon, Y., Acree, A. D., and Peterson, L. L. (1993), "Development of a case-based expert system: application to a service coordination problem," Expert Systems with Applications, vol 6, no. 1, pp. 77-85.

Case-Based Reasoning and Fuzzy Systems

Gui, J. K. (1993), "Methodology for modelling complete product assemblies," Acta Polytechnica Scandinavica. Mathematics and Computer Science Series, no. Ma60, pp. 1-189.

Owen, R.B., Holland, A.W., and Wood, J. (1993), "A prototype case-based reasoning human assistant for space crew assessment and mission management," Proceedings of the SPIE - The International Society for Optical Engineering, vol 1963, pp. 262-273.

Xu, L. D. (1994), "Developing a case-based knowledge system for AIDS prevention," Expert Systems, vol 11, no. 4, pp. 237-244.

Case-Based Reasoning and Genetic Algorithms

Louis, S., McGraw, G., Wyckoff, R. O. (1993), "Case-based reasoning assisted explanation of genetic algorithm results," Journal of Experimental and Theoretical Artificial Intelligence, vol 5, no. 1, p. 21-37.

Oppacher, F., and Deugo, D. (1991), "Integrating case-based reasoning with

References 253

genetic algorithms," Proceedings of the International Symposium on Computational Intelligence, vol III, Milan, Italy, September 24-28, pp. 103-114.

Ramsey, C. L., and Grefenstette, J. J. (1993), "Case-based initialization of genetic algorithms," Proceedings of the International Conference on Genetic Algorithms, Urbana-Champaign, IL, July 17-21, pp. 84-91.

Case-Based Reasoning and Neural Networks

Ajenstat, J.; van Doormaal, B.; Bigue, J., Bisant, D., Brown, D., and Marchand, R. (1993), "AI for AI-artificial intelligence for artificial insemination," Proceedings of the AIFA Conference Artificial Intelligence for Agriculture and Food, Equipment and Process Control, Nimes, France, October 27-29, pp. 275-284.

Gan, R., and Yang, D. (1994), "Case-based decision support system with artificial neural network," Computers & Industrial Engineering, vol 27, 16th Annual Conference on Computers and Industrial Engineering, Ashikaga, Japan, March 7-9, pp. 437-440.

Myllymaki, P., and Tirri, H. (1993), "Bayesian case-based reasoning with neural networks," Proceedings of the IEEE International Conference on Neural Networks, San Francisco, March 28-April 1, vol 1, pp. 422-427.

Nakhaeizadeh, G. (1994), "Learning prediction of time series: a theoretical and empirical comparison of CBR with some other approaches," Proceedings of the Topics in Case-Based Reasoning Fifth European Workshop, Kaiserslautern, Germany, November 1-5, pp. 65-76.

Wendel, O. (1993), "Case-based reasoning in a simulation environment for biological neural networks," Proceedings of the Fifth European Workshop on Topics in Case-Based Reasoning, Kaiserslautern, Germany, November 1-5, pp. 424-435.


Expert Systems and Fuzzy Logic

Atiquzzaman, M., Mohiddin, S. M., and Dillon, T. S. (1994), "Systolic array implementation for fuzzy evidential reasoning systems," Proceedings of the International Conference on Expert Systems for Development, Bangkok, Thailand, March 28-31, pp. 91-96.

Brubaker, D. (1993), "An accelerated kernel for fuzzy systems," AI Expert, vol 7, no. 3, pp. 38-43.

Buckley, J. J., Siler, W., and Tucker, D. (1986), "FLOPS, a fuzzy expert system: applications and perspectives," Fuzzy Logics in Knowledge Engineering, Negoita, C. V., and Prade, H., eds, Verlang TUV Rheinland, Germany.

Cox, E. (1992), "Applications of fuzzy system models," AI Expert, vol 6, no. 10, pp.34-39.

Cox, E. (1992), "Fuzzy fundamentals," IEEE Spectrum, vol 29, no. 10, pp. 58-61.

Cox, E. (1993), "Adaptive Fuzzy Systems," IEEE Spectrum, vol 30, no. 2, pp. 27-31.

Daugherty, W. C., Rathakrishnan, B., and Yen, J. (1992), "Performance evaluation of a self-tuning fuzzy controller," Proceedings of the IEEE International Conference on Fuzzy Systems, San Diego, March, pp. 389-397.

Emado, P. (1994), "Application Watch," AI Expert, vol 9, no. 7, p. 48.

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Index

AAAI-92 workshop 31 Berkeley Initiative in Soft

Computing (BISe) 108,236 Case-based reasoning 10, 216 Case-based reasoning hybrid

systems 235 Chemical tank pH control 48 Classification of stars 51 CLIPS 75 Color control system 136 Computational intelligence 17 Condition monitoring 60 Conncert 33 CONSYDERR 30 Control Chart Selection Advisor 85 Data analysis 177 Decision fusion 146 Decision support systems 13, Development systems 32,53, 103, 121,

138 Dynamic fuzzy control of genetic

algorithms 177 Engineous 211 Expert network 30, 75 Expert system 3, 39, 95 Expert systems and fuzzy logic 232 Expert systems and neural networks 232 FIDE 103 Fully integrated model 26 Fuzzy ARTMAP 111, 117 Fuzzy associative memory 110 Fuzzy cognitive map 110 Fuzzy connectionist expert system 109 Fuzzy control system 101, 188

Fuzzy expert system 96, 98 Fuzzy logic and genetic algorithms 234 Fuzzy map 109 Fuzzy neural network 111, 113 Fuzzy systems 7,95, 108, 173 Generalized mean 156 Genetic algorithms 9, 128, 173 Genetic algorithms and expert systems

234 Genetic algorithms and neural networks

233 Genetic design of neural networks 132 Geophysical data processing 180 Goal Directed Monte Carlo 81 Intelligent agents 238 Intelligent databases 12 Intelligent information systems 11 Intelligent technologies 1, 224, 227 Intelligent tutoring system 100 IRIS model 19 Kohonen network 68, 116, 150 Knowledge acquisition 207 LAM for window glazing design 47 Loose coupling models 23 M.1/MA 75, 85 Models of integration 17, 21, 112, 174,

231 Multiple target recognition 50 NEFCON-I 121 Neural network 4,41 Neural network architectures 6 Neural networks and fuzzy logic 233 NeuralWorks 151 Neurocontrol systems 237

298

NeuroGENESYS 139 NeuroGraph 139 Nuclear plant monitoring 49 Numbers of publications 230, 231 Object-oriented techniques 11 O'INCA 122 Optimization of heuristics 204, 209 PrologGA 209 Relationships among intelligent

technologies 224 Scene recognition 181 SCRufFy 46, Standalone models 22, Tight coupling model 25 Transformational models 22 Underwater robot welder 46 Vibration monitoring 146 Wine Advisor 82 XROUTE 130, 236

Hybrid Intelligent Systems

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