## 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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A new observation is first compared to all of the clusters in its group , with the

**prior probability**of each cluster determined by Equation 14.

This probability can be computed using Bayes ' rule , with P ( d ; lq ) a P ( q | d ; ) P ( d ; ) ( 1 ) where P ( d ; ) gives the

**prior probability**that an ...

... posterior probability that each item is relevant , combining its

**prior probability**of ... and then return the items with highest posterior probability .

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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 |