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Bayesian Models of Cognition
Reverse Engineering the Mind
Buch von Nick Chater (u. a.)
Sprache: Englisch

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Beschreibung
"The definitive work on the Bayesian approach to Cognitive Science and an important work in understanding the mind and the brain"--
"The definitive work on the Bayesian approach to Cognitive Science and an important work in understanding the mind and the brain"--
Über den Autor
Thomas L. Griffiths, Nick Chater, and Joshua B. Tenenbaum
Inhaltsverzeichnis
Preface
Part I: The Basics
1 Introducing the Bayesian approach to cognitive science
2 Probabilistic models of cognition in historical context
3 Bayesian inference
4 Graphical models
5 Building complex generative models
6 Approximate probabilistic inference
7 From probabilities to actions
Part II: Advanced Topics
8 Learning inductive bias with hierarchical Bayesian models
9 Capturing the growth of knowledge with nonparametric Bayesian models
10 Estimating subjective probability distributions
11 Sampling as a bridge across levels of analysis
12 Bayesian models and neural networks
13 Resource-rational analysis
14 Theory of mind and inverse planning
15 Intuitive physics as probabilistic inference
16 Language processing and language learning
17 Bayesian inference over logical representations
18 Probabilistic programs as a unifying language of thought
19 Learning as Bayesian inference over programs
20 Bayesian models of cognitive development
21 The limits of inference and algorithmic probability
22 A Bayesian conversation
Conclusion
Acknowledgments
References
Details
Erscheinungsjahr: 2024
Fachbereich: Allgemeines
Genre: Importe
Rubrik: Sozialwissenschaften
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780262049412
ISBN-10: 0262049414
Sprache: Englisch
Einband: Gebunden
Autor: Chater, Nick
Griffiths, Thomas L.
Redaktion: Thomas L. Griffiths
Nick Chater
Joshua B. Tenenbaum
Hersteller: MIT Press Ltd
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 261 x 213 x 40 mm
Von/Mit: Nick Chater (u. a.)
Erscheinungsdatum: 12.11.2024
Gewicht: 1,44 kg
Artikel-ID: 129602478
Über den Autor
Thomas L. Griffiths, Nick Chater, and Joshua B. Tenenbaum
Inhaltsverzeichnis
Preface
Part I: The Basics
1 Introducing the Bayesian approach to cognitive science
2 Probabilistic models of cognition in historical context
3 Bayesian inference
4 Graphical models
5 Building complex generative models
6 Approximate probabilistic inference
7 From probabilities to actions
Part II: Advanced Topics
8 Learning inductive bias with hierarchical Bayesian models
9 Capturing the growth of knowledge with nonparametric Bayesian models
10 Estimating subjective probability distributions
11 Sampling as a bridge across levels of analysis
12 Bayesian models and neural networks
13 Resource-rational analysis
14 Theory of mind and inverse planning
15 Intuitive physics as probabilistic inference
16 Language processing and language learning
17 Bayesian inference over logical representations
18 Probabilistic programs as a unifying language of thought
19 Learning as Bayesian inference over programs
20 Bayesian models of cognitive development
21 The limits of inference and algorithmic probability
22 A Bayesian conversation
Conclusion
Acknowledgments
References
Details
Erscheinungsjahr: 2024
Fachbereich: Allgemeines
Genre: Importe
Rubrik: Sozialwissenschaften
Medium: Buch
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780262049412
ISBN-10: 0262049414
Sprache: Englisch
Einband: Gebunden
Autor: Chater, Nick
Griffiths, Thomas L.
Redaktion: Thomas L. Griffiths
Nick Chater
Joshua B. Tenenbaum
Hersteller: MIT Press Ltd
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 261 x 213 x 40 mm
Von/Mit: Nick Chater (u. a.)
Erscheinungsdatum: 12.11.2024
Gewicht: 1,44 kg
Artikel-ID: 129602478
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