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001387431 24500 $$aProduction system models of learning and development.
001387431 2463_ $$aComputational models of cognition and perception
001387431 264_1 $$a[Place of publication not identified]$$bMIT Press$$c1987.
001387431 264_4 $$c©1987
001387431 300__ $$a1 online resource.
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001387431 337__ $$acomputer$$bc$$2rdamedia
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001387431 4901_ $$aComputational models of cognition and perception
001387431 506__ $$aAccess limited to authorized users.
001387431 5208_ $$aCognitive 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.
001387431 588__ $$aOCLC-licensed vendor bibliographic record.
001387431 650_0 $$aCognition$$xData processing.
001387431 650_0 $$aCognition$$xMathematical models.
001387431 650_0 $$aHuman information processing$$xData processing.
001387431 650_0 $$aHuman information processing$$xMathematical models.
001387431 650_0 $$aLearning, Psychology of$$xData processing.
001387431 650_0 $$aLearning, Psychology of$$xMathematical models.
001387431 653__ $$aMan$$aMental processes$$aMathematical models$$aApplications of computer systems
001387431 653__ $$aCOGNITIVE SCIENCES/General
001387431 655_0 $$aElectronic books
001387431 7001_ $$aKlahr, David,$$eContributor.
001387431 7001_ $$aLangley, Pat,$$eContributor.
001387431 7001_ $$aNeches, Robert,$$eContributor.
001387431 852__ $$bebk
001387431 85640 $$3MIT Press$$uhttps://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/5605.001.0001?locatt=mode:legacy$$zOnline Access through The MIT Press Direct
001387431 85642 $$3OCLC metadata license agreement$$uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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