Bayesian Models of Cognition: Reverse Engineering the Mind
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Bayesian Models of Cognition: Reverse Engineering the Mind

by Nick Chater, Thomas L. Griffiths, Joshua B. Tenenbaum

Psychology Mathematics cognitive science
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Bayesian Models of Cognition: Reverse Engineering the Mind by Nick Chater, Thomas L. Griffiths, and Joshua B. Tenenbaum explores the use of Bayesian frameworks to model and understand cognitive processes. It provides a systematic approach to dissecting how the mind works through probabilistic inference, offering valuable insights for cognitive science and related fields.

About This Book

Bayesian Models of Cognition presents an approach to understanding the mind by applying Bayesian principles to cognitive processes. Authors Nick Chater, Thomas L. Griffiths, and Joshua B. Tenenbaum delve into how these models can reverse-engineer mental functions.

The book examines the application of probabilistic reasoning in various aspects of cognition, providing a structured way to model human thought and behavior.

Through theoretical insights and examples, it demonstrates the power of Bayesian methods in bridging computational theory and psychological phenomena.

This work serves as a key resource for researchers and students interested in the intersection of statistics, AI, and human intelligence.

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I will be using this book for: