Cognitive psychologists have found the production systems class of                  computer simulation models to be one of the most direct ways to cast complex                  theories of human intelligence. There have been many scattered studies on production                  systems since they were first proposed as computational models of human                  problem-solving behavior by Allen Newell some twenty years ago, but this is the                  first book to focus exclusively on these important models of human cognition,                  collecting and giving many of the best examples of current research.In the first                  chapter, Robert Neches, Pat Langley, and David Klahr provide an overview of the                  fundamental issues involved in using production systems as a medium for theorizing                  about cognitive processes, emphasizing their theoretical power.The remaining                  chapters take up learning by doing and learning by understanding, discrimination                  learning, learning through incremental refinement, learning by chunking, procedural                  earning, and learning by composition. A model of cognitive development called BAIRN                  is described, and a final chapter reviews John Anderson's ACT theory and discusses                  how it can be used in intelligent tutoring systems, including one that teaches LISP                  programming skills.In addition to the editors, the contributors are Yuichiro Anzai                  (Hokkaido University, Japan), Paul Rosenbloom (Stanford) and Allen Newell                  (Carnegie-Mellon), Stellan Ohlsson (University of Pittsburgh), Clayton Lewis                  (University of Colorado, Boulder), Iain Wallace and Kevin Bluff (Deakon University,                  Australia), and John Anderson (Carnegie-Mellon).David Klahr is Professor and Head of                  the Department of Psychology at Carnegie-Mellon University. Pat Langley is Associate                  Professor, Department of Information and Computer Science, University of California,                  Irvine, and Robert Neches is Research Computer Scientist at University of Southern                  California Information Sciences Institute. Production System Models of Learning and                  Development is included in the series Computational Models of Cognition and                  Perception, edited by Jerome A. Feldman, Patrick J. Hayes, and David E.Rumelhart. A                  Bradford Book.

Production System Models of Learning and Development (Computational Models of Cognition and Perception) PDF

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