## 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 58

Cognitive scientists can appropriate these algorithms for modeling categorization — assuming that people have rational goals and perhaps

**approximate**the ...

extensive literature on

**approximate**inference for DPMMs to offer two ... a Monte Carlo

**approximation**gives Plyn = j | * w » YN - 1 ) = { Plyn = j \ * w » YN ...

Summing over these particles gives us an

**approximation**to the posterior ... then we can

**approximate**the distribution of zi + 1 given the observations xi ...

### 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 |