## 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 67

Would you predict that a coin would

**produce**only heads after seeing it

**produce**a head on a single flip ? A second problem with maximum - likelihood ...

... it is possible to show that the posterior distribution over

**produced**by a ... we should predict that the next toss will

**produce**a head with probability ...

The partition

**produced**on one iteration is not independent of the next , so the results of some iterations are discarded to approximate independence .

### 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 |