## 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. |

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However , it is well known that multi -

**trial**dilemmas create reciprocal behavior ... 8.4 shows , when aggregating over many

**trials**, the expected payoff is ...

... ( 1/2 a block is 68 training

**trials**, 2 blocks is 244 training

**trials**, and 4 blocks is 544 training

**trials**) is sizeable and statistically significant .

The next line of the table shows the experimental course of backward blocking ( Shanks , 1985 ) , in which the order of these sets of

**trials**is reversed ...

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### Contents

prospects for a Bayesian cognitive science | 3 |

A primer on probabilistic inference | 33 |

Rational analyses instrumentalism and implementations | 59 |

Copyright | |

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### 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 |