## 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 83

This normative argument would apply to framing research if it were

**possible**for experimenters to somehow magically endow their subjects with knowledge that ...

Fulcrum diagram to illustrate expected a question's expected utility ( at left ) as a function of the utility and probability of its

**possible**answers ( at ...

Usefulness of each

**possible**answer to F1 question , right two columns . OED model eu ( F1 ) u ( f1 ) u ( ~ f1 ) probability gain 0.1650 0.0000 0.2463 ...

### 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 |