MIT CogNet, The Brain Sciences ConnectionFrom the MIT Press, Link to Online Catalog
SPARC Communities
Subscriber : Stanford University Libraries » LOG IN

space

Powered By Google 
Advanced Search

Selected Title Details  
Jan 1987
ISBN 0262111144
BUY THE BOOK
Production System Models of Learning and Development
David Klahr , Pat Langley and Robert T. Neches

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.

Table of Contents
 List of Contributors
 Introduction
1 Learning, Development, and Production Systems
by Robert Neches, Pat Langley and David Klahr
2 Doing, Understanding, and Learning in Problem Solving
by Yuichiro Anzai
3 A General Theory of Discrimination Learning
by Pat Langley
4 Learning through Incremental Refinement of Procedures
by Robert Neches
5 Learning by Chunking: A Production System Model of Practice
by Paul Rosenbloom and Allen Newell
6 Truth versus Appropriateness: Relating Declarative to Procedural Knowledge
by Stellan Ohlsson
7 Composition of Productions
by Clayton Lewis
8 A Self-Modifying Production System Model of Cognitive Development
by Iain Wallace, David Klahr and Kevin Bluff
9 Production Systems, Learning, and Tutoring
by John Anderson
 Author Index
 Subject Index
 
Options
Related Topics
Psychology, Cognitive Science


© 2010 The MIT Press
MIT Logo