## The Probabilistic Mind: Prospects for Bayesian Cognitive ScienceThe 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 The Probabilistic Mind will be valuable for psychologists and philosophers interested in cognition. |

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When stated in terms of abstract random variables , Bayes '

**rule**is a simple tautology of probability theory . Assume we have two random variables , A and ...

In the form given in ( 3 ) , Bayes '

**rule**seems relatively innocuous ( and perhaps rather uninteresting ! ) . Bayes '

**rule**gets its strength , and its ...

From this perspective , we should select the decision

**rule**c * ( - ) that minimizes the risk , or expected loss : R ( a ) = { 1 ( 0 , a ( d ) ) p ( 0,0 ) Ꮎ ...

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### Contents

prospects for a Bayesian cognitive science | 3 |

A primer on probabilistic inference | 33 |

Rational analyses instrumentalism and implementations | 59 |

Copyright | |

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### Other editions - View all

The Probabilistic Mind: Prospects for Bayesian Cognitive Science Nick Chater,Mike Oaksford Limited preview - 2008 |

The Probabilistic Mind: Prospects for Bayesian Cognitive Science Nick Chater,Mike Oaksford No preview available - 2008 |