## 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 48

We can take the prior and likelihoods defined in the previous paragraph , and plug them directly into ( 4 ) to compute the

**posterior probability**of each of ...

Equation ( 1 ) forms part of a simple schema for solving retrieval problems : compute the

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

... 157 judgment 243 , 487–8 , 491 logic 101 matching assumption 386

**posterior**35 , 36 , 122 , 308 , 332 , 379 weighting function 272

**probability**logic and ...

### 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 |