The Probabilistic Mind: Prospects for Bayesian Cognitive Science

Front Cover
Nick Chater, Mike Oaksford
Oxford University Press, 2008 - Philosophy - 525 pages
The rational analysis method, first proposed by John R. Anderson, has been enormously influential in helping us understand high-level cognitive processes.

The Probabilistic Mind is a follow-up to the influential and highly cited 'Rational Models of Cognition' (OUP, 1998). It brings together developments in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian methods. It synthesizes and evaluates the progress in the past decade, taking into account developments in Bayesian statistics, statistical analysis of the cognitive 'environment' and a variety of theoretical and experimental lines of research. The scope of the book is broad, covering important recent work in reasoning, decision making, categorization, and memory. Including chapters from many of the leading figures in this field,

The Probabilistic Mind will be valuable for psychologists and philosophers interested in cognition.

From inside the book

Contents

Part 2 Inference and Argument
77
Part 3 Judgement and DecisionMaking
187
Part 4 Categorization and Memory
301
Part 5 Learning about Contingency and Causality
407
Index
515
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