## 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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GAMBLING IN SMALLVILLE : WHY INTUITIVE

**SAMPLING**MAY BE DESTINED TO BE FRUGAL 215 in Problem 1 if respondents had calculated the observed

**sample**mean for ...

**sample**size ) , assuming Tversky and Kahneman's ( 1992 ) median estimates for the three parameters describing the value function and the two parameters ...

score that exceeds , say 120 , and measure this score , the average

**sample**proportion P of individuals that exceeds an IQ of 120 is p .

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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 |