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9780262661164

Cognitive Modeling

by
  • ISBN13:

    9780262661164

  • ISBN10:

    0262661160

  • Format: Paperback
  • Copyright: 2002-08-15
  • Publisher: Bradford Books

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Summary

Computational modeling plays a central role in cognitive science. This book provides a comprehensive introduction to computational models of human cognition. It covers major approaches and architectures, both neural network and symbolic; major theoretical issues; and specific computational models of a variety of cognitive processes, ranging from low-level (e.g., attention and memory) to higher-level (e.g., language and reasoning). The articles included in the book provide original descriptions of developments in the field. The emphasis is on implemented computational models rather than on mathematical or nonformal approaches, and on modeling empirical data from human subjects.

Table of Contents

Preface xi
Sources xix
Part I Architectures and Approaches 1(334)
Symbolic Models
3(1)
Construction Integration
4(1)
The Role of Knowledge in Discourse Comprehension: A Construction--Integration Model
5(44)
Walter A. Kintsch
ACT
48(1)
ACT: A Simple Theory of Complex Cognition
49(22)
John R. Anderson
Soar
69(2)
A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence
71(30)
Paul S. Rosenbloom
John E. Laird
Allen Newell
Robert McCarl
EPIC
99(2)
Adaptive Executive Control: Flexible Multiple-Task Performance without Pervasive Immutable Response-Selection Bottlenecks
101(30)
David E. Meyer
David E. Kieras
Erick Lauber
Eric H. Schumacher
Jennifer Glass
Eileen Zurbriggen
Leon Gmeindl
Dana Apfelblat
CAPS
129(2)
A Capacity Theory of Comprehension: Individual Differences in Working Memory
131(50)
Marcel A. Just
Patricia A. Carpenter
Neural Network Models
179(1)
Neural Networks
180(1)
How Neural Networks Learn from Experience
181(16)
Geoffrey E. Hinton
Hopfield Networks
196(1)
The Hopfield Model
197(16)
John Hertz
Anders Krogh
Richard G. Palmer
Back Propagation
212(1)
Learning Representations by Back-Propagating Errors
213(10)
David E. Rumelhart
Geoffrey E. Hinton
Ronald J. Williams
Supervised Learning
221(2)
Forward Models: Supervised Learning with a Distal Teacher
223(34)
Michael I. Jordan
David E. Rumelhart
Recurrent Networks
256(1)
Finding Structure in Time
257(32)
Jeffrey L. Elman
Adaptive Resonance Theory
288(1)
A Self-Organizing Neural Network for Supervised Learning, Recognition, and Prediction
289(28)
Gail A. Carpenter
Stephen Grossberg
Optimality Theory
315(2)
Optimality: From Neural Networks to Universal Grammar
317(18)
Alan Prince
Paul Smolensky
Part II Case Studies in Cognitive Modeling 335(780)
Perceptual Recognition
336(1)
Dynamic Binding in a Neural Network for Shape Recognition
337(40)
John E. Hummel
Irving Biederman
Executive Processes
375(2)
Context, Cortex, and Dopamine: A Connectionist Approach to Behavior and Biology in Schizophrenia
377(46)
Jonathan D. Cohen
David Servan-Schreiber
Attentional Neglect
422(1)
The End of the Line for a Brain-Damaged Model of Unilateral Neglect
423(40)
Michael C. Mozer
Peter W. Halligan
John C. Marshall
List Memory
461(2)
An Integrated Theory of List Memory
463(36)
John R. Anderson
Dan Bothell
Christian Lebiere
Michael Matessa
Memory and Learning
497(2)
Why There Are Complementary Learning Systems in the Hippocampus and Neocortex: Insights from the Successes and Failures of Connectionist Models of Learning and Memory
499(38)
James L. McClelland
Bruce L. McNaughton
Randall C. O'Reilly
Category Learning
535(2)
ALCOVE: An Exemplar-Based Connectionist Model of Category Learning
537(86)
John K. Kruschke
Procedural Learning
576(45)
How People Learn to Skip Steps
577
Stephen B. Blessing
John R. Anderson
Conceptual Learning
621(2)
Acquisition of Children's Addition Strategies: A Model of Impasse-Free, Knowledge-Level Learning
623(26)
Randolph M. Jones
Kurt VanLehn
Language Learning
647(2)
Learning from a Connectionist Model of the Acquisition of the English Past Tense
649(12)
Kim Plunkett
Virginia A. Marchman
Learning Words
660(1)
Acquiring the Mapping from Meaning to Sounds
661(30)
Garrison W. Cottrell
Kim Plunkett
Reading Words
690(1)
Understanding Normal and Impaired Word Reading: Computational Principles in Quasi-Regular Domains
691(58)
David C. Plaut
James L. McClelland
Mark S. Seidenberg
Karalyn Patterson
Producing Language
747(2)
Language Production and Serial Order: A Functional Analysis and a Model
749(48)
Gary S. Dell
Lisa K. Burger
William R. Svec
Understanding Language
795(2)
Interference in Short-Term Memory: The Magical Number Two (or Three) in Sentence Processing
797(20)
Richard L. Lewis
Processing Similarity
815(2)
Similarity, Interactive Activation, and Mapping: An Overview
817(32)
Robert L. Goldstone
Douglas L. Medin
Mapping Analogies
848(1)
Analogical Mapping by Constraint Satisfaction
849(62)
Keith J. Holyoak
Paul Thagard
Retrieving Analogies
910(1)
MAC/FAC: A Model of Similarity-Based Retrieval
911(32)
Kenneth D. Forbus
Dedre Gentner
Keith Law
Representing Structure
941(2)
Distributed Representations of Structure: A Theory of Analogical Access and Mapping
943(44)
John E. Hummel
Keith J. Holyoak
Retrieving Structure
986(1)
Case-Based Learning: Predictive Features in Indexing
987(22)
Colleen M. Seifert
Kristian J. Hammond
Hollyn M. Johnson
Timothy M. Converse
Thomas F. McDougal
Scott W. VanderStoep
Inductive Reasoning
1008(1)
Feature-Based Induction
1009(36)
Steven A. Sloman
Deductive Reasoning
1043(2)
Deduction as Verbal Reasoning
1045(40)
Thad A. Polk
Allen Newell
Task Performance
1083(2)
Project Ernestine: Validating a GOMS Analysis for Predicting and Explaining Real-World Task Performance
1085(30)
Wayne D. Gray
Bonnie E. John
Michael E. Atwood
Part III Issues in Cognitive Modeling 1115(146)
Connectionist vs. Symbolic Models
1116(1)
Connectionism and the Problem of Systematicity (Continued): Why Smolensky's Solution Still Doesn't Work
1117(14)
Jerry Fodor
Theory vs. Modeling
1129(2)
Networks and Theories: The Place of Connectionism in Cognitive Science
1131(18)
Michael McCloskey
Computation in the Brain
1147(2)
Neuropsychological Inference with an Interactive Brain: A Critique of the ``Locality'' Assumption
1149(44)
Martha J. Farah
Mind vs. World
1191(2)
Is Human Cognition Adaptive?
1193(38)
John. R. Anderson
Generality vs. Specificity of Models
1229(2)
Precis of Unified Theories of Cognition
1231(30)
Allen Newell
Contributors 1261(6)
Index 1267

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