## 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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Exemplar models assume that a category is represented by a set of stored exemplars , and categorizing new

**stimuli**involves comparing these

**stimuli**to the ...

Given a set of N - 1

**stimuli**with features XN - 1 = ( x1 , x2 , ... ... the probability that

**stimulus**N with features xn is assigned to category j is given ...

... ( 22 ) where B , is the number of

**stimuli**with value v on the dth feature ... cluster as xp B denotes the number of other

**stimuli**in the same cluster .

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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 |