Bayesian Models of Cognition: Reverse Engineering the Mind (Thomas Griffiths, Nick Chater & Joshua Tenenbaum)
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Griffiths, Chater, and Tenenbaum explain cognition through probabilistic models of learning and inference.
They ask how people draw useful conclusions from limited and uncertain evidence.
Bayesian inference combines prior knowledge with observations to compare possible explanations.
The book develops mathematical tools and connects them to findings from psychology.
Its applications examine causal reasoning, language, intuitive physics, and resource-limited thought.
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