## 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. |

### From inside the book

Results 1-3 of 14

The most commonly used method for placing broad priors over probability distributions is the

**Dirichlet process**( DP ; Ferguson , 1973 ) .

This higher - level

**Dirichlet process**is governed by parameter y ... assigned to a completely new cluster if both

**Dirichlet processes**select a new cluster .

Modeling individual differences using

**Dirichlet processes**. ... Markov chain sampling methods for

**Dirichlet process**mixture models ( Tech . Rep . No.

### What people are saying - Write a review

### Contents

prospects for a Bayesian cognitive science | 3 |

A primer on probabilistic inference | 33 |

Rational analyses instrumentalism and implementations | 59 |

Copyright | |

20 other sections not shown

### 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 |