## 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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Nundy and Purves ( 2002 ) conduct extensive analysis of the

**statistical**properties of natural images , and argue that the resulting predictions frequently depart from the predictions of the Bayesian analysis ; and that the rank - based ...

of probabilistic models in computer science and

**statistics**has led to the development of valuable tools that address ... strengths of probabilistic models is this capacity to combine structured representations with

**statistical**methods ...

models that might be useful in

**statistics**. The ways in which people use different sources of data in forming categories , combine category learning with language learning , and exploit structured knowledge as well as

**statistical**...

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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 |