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"A broad introductory treatment of cognitive modeling for students and researchers who want an accessible primer"--
"A broad introductory treatment of cognitive modeling for students and researchers who want an accessible primer"--
Über den Autor
Tom Verguts
Inhaltsverzeichnis
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
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
Details
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Theoretische Psychologie |
Genre: | Psychologie |
Rubrik: | Geisteswissenschaften |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262045360 |
ISBN-10: | 0262045362 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Verguts, Tom |
Hersteller: | MIT Press Ltd |
Maße: | 261 x 181 x 22 mm |
Von/Mit: | Tom Verguts |
Erscheinungsdatum: | 01.02.2022 |
Gewicht: | 0,768 kg |
Über den Autor
Tom Verguts
Inhaltsverzeichnis
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
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
Details
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Theoretische Psychologie |
Genre: | Psychologie |
Rubrik: | Geisteswissenschaften |
Medium: | Buch |
Inhalt: | Einband - fest (Hardcover) |
ISBN-13: | 9780262045360 |
ISBN-10: | 0262045362 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Verguts, Tom |
Hersteller: | MIT Press Ltd |
Maße: | 261 x 181 x 22 mm |
Von/Mit: | Tom Verguts |
Erscheinungsdatum: | 01.02.2022 |
Gewicht: | 0,768 kg |
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