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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
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
| Erscheinungsjahr: | 2024 |
|---|---|
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9780262049412 |
| ISBN-10: | 0262049414 |
| Sprache: | Englisch |
| Redaktion: |
Thomas L. Griffiths
Nick Chater Joshua B. Tenenbaum |
| Hersteller: | MIT Press |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 260 x 210 x 40 mm |
| Von/Mit: | Thomas L. Griffiths (u. a.) |
| Erscheinungsdatum: | 12.11.2024 |
| Gewicht: | 1,406 kg |
| Erscheinungsjahr: | 2024 |
|---|---|
| Inhalt: | Einband - fest (Hardcover) |
| ISBN-13: | 9780262049412 |
| ISBN-10: | 0262049414 |
| Sprache: | Englisch |
| Redaktion: |
Thomas L. Griffiths
Nick Chater Joshua B. Tenenbaum |
| Hersteller: | MIT Press |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 260 x 210 x 40 mm |
| Von/Mit: | Thomas L. Griffiths (u. a.) |
| Erscheinungsdatum: | 12.11.2024 |
| Gewicht: | 1,406 kg |
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