## 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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( 10 ) The key difference from Bayesian inference with finitely many hypotheses is that the

**posterior**distribution is now characterized by a probability ...

Using a little calculus , it is possible to show that the

**posterior**distribution over produced by a sequence d with N , heads and N , tails is ( N ) p ( Old ) ...

... 157 judgment 243 , 487–8 , 491 logic 101 matching assumption 386

**posterior**35 , 36 , 122 , 308 , 332 , 379 weighting function 272 probability logic and ...

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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 |