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Reverse Engineering the Mind
Reverse Engineering the Mind
Edited by Thomas L. Griffiths, Nick Chater and Joshua B. Tenenbaum
Edited by Thomas L. Griffiths, Nick Chater and Joshua B. Tenenbaum
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Category: | Psychology
Category: | Psychology
Hardcover $120.00
Nov 12, 2024 | ISBN 9780262049412
Ebook $46.99
Nov 12, 2024 | ISBN 9780262381048
Hardcover $120.00
Nov 12, 2024 | ISBN 9780262049412
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Nov 12, 2024 | ISBN 9780262049412
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About Bayesian Models of Cognition
The definitive introduction to Bayesian cognitive science, written by pioneers of the field.
How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a unifying theoretical perspective on how the mind works. Part I provides an introduction to the key mathematical ideas and illustrations with examples from the psychological literature, including detailed derivations of specific models and references that can be used to learn more about the underlying principles. Part II details more advanced topics and their applications before engaging with critiques of the reverse-engineering approach. Written by experts at the forefront of new research, this comprehensive text brings the fields of cognitive science and artificial intelligence back together and establishes a firmly grounded mathematical and computational foundation for the understanding of human intelligence.
- The only textbook comprehensively introducing the Bayesian approach to cognition
- Written by pioneers in the field
- Offers cutting-edge coverage of Bayesian cognitive science’s research frontiers
- Suitable for advanced undergraduate and graduate students and researchers across the sciences with an interest in the mind, brain, and intelligence
- Features short tutorials and case studies of specific Bayesian models
About Bayesian Models of Cognition
The definitive introduction to Bayesian cognitive science, written by pioneers of the field.
How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a unifying theoretical perspective on how the mind works. Part I provides an introduction to the key mathematical ideas and illustrations with examples from the psychological literature, including detailed derivations of specific models and references that can be used to learn more about the underlying principles. Part II details more advanced topics and their applications before engaging with critiques of the reverse-engineering approach. Written by experts at the forefront of new research, this comprehensive text brings the fields of cognitive science and artificial intelligence back together and establishes a firmly grounded mathematical and computational foundation for the understanding of human intelligence.
- The only textbook comprehensively introducing the Bayesian approach to cognition
- Written by pioneers in the field
- Offers cutting-edge coverage of Bayesian cognitive science’s research frontiers
- Suitable for advanced undergraduate and graduate students and researchers across the sciences with an interest in the mind, brain, and intelligence
- Features short tutorials and case studies of specific Bayesian models
Also by Nick Chater
See all books by Nick Chater
Also by Nick Chater
See all books by Nick Chater
Product Details
Category: | Psychology
Hardcover | $120.00
Published by The MIT Press
Nov 12, 2024 | 648 Pages | 8 x 10 | ISBN 9780262049412
Category: | Psychology
Ebook | $46.99
Published by The MIT Press
Nov 12, 2024 | 648 Pages | 8 x 10 | ISBN 9780262381048
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Bayesian Models of Cognition
Edited by Thomas L. Griffiths, Nick Chater and Joshua B. Tenenbaum
Edited by Thomas L. Griffiths, Nick Chater and Joshua B. Tenenbaum
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