Introduction to Modeling Cognitive Processes


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Table of Contents

Preface and Acknowledgments ix
1 What Is Cognitive Modeling? 1
2 Decision Making 17
3 Hebbian Learning 37
4 The Delta Rule 53
5 Multilayer Networks 69
6 Estimating Parameters in Computational Models 89
7 Testing and Comparing Computational Models 107
8 Reinforcement Learning: The Gradient Ascent Approach 123
9 Reinforcement Learning: The Markov Decision Process Approach 133
10 Unsupervised Learning 153
11 Bayesian Models 173
12 Interacting Organisms 191
Convention and Notation 203
Glossary 205
Hints and Solutions to Select Exercises 207
Notes 217
References 219
Index 243

About the Author

Tom Verguts is Professor in the Department of Experimental Psychology at Ghent University.

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