Bayesian Models of Cognition
Reverse Engineering the Mind
$236.91
- Hardcover
672 pages
- Release Date
12 November 2024
Summary
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 intr…
Book Details
| ISBN-13: | 9780262049412 |
|---|---|
| ISBN-10: | 0262049414 |
| Author: | Thomas L. Griffiths, Nick Chater |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 672 |
| Release Date: | 12 November 2024 |
| Weight: | 567g |
| Dimensions: | 203mm x 254mm |
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Thomas L. Griffiths
Thomas L. Griffiths is Henry R. Luce Professor of Information Technology, Consciousness and Culture in the Departments of Psychology and Computer Science at Princeton University and coauthor of Algorithms to Live By: The Computer Science of Human Decisions. His research, which has received awards from the American Psychological Association and the National Academy of Sciences, among other organizations, explores connections between human and machine learning, using ideas from statistics and artificial intelligence to understand how people solve the challenging computational problems they encounter in everyday life.
Nick Chater is Professor of Behavioural Science at Warwick Business School and author of The Mind Is Flat: The Remarkable Shallowness of the Improvising Brain, among many other books. He studies the cognitive and social foundations of rationality and language and is the recipient of four national awards for psychological research and, in 2023, the Cognitive Science Society’s David E. Rumelhart Prize for contributions to the foundation of cognition.
Joshua B. Tenenbaum is Professor of Computational Cognitive Science in the Department of Brain and Cognitive Sciences at MIT. He has received awards for research in mathematical and cognitive psychology from the American Psychological Association, the National Academy of Sciences, and the Society of Experimental Psychologists, and is a Macarthur Fellow.
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