## 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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Selection pressures generally act to increase the proportion of more

**optimal**traits in a population , and decrease the less

**optimal**traits . Thus , if X is

**optimal**( and evolutionarily available ) , then selection pressures can explain ...

The

**optimal**and the psychological An essential step in the rational analysis of cognition is to find the

**optimal**response function . But to what degree does the goal of understanding the cognitive system as being adapted to problems ...

algorithms in the absence of knowledge of the

**optimal**response ( Hastie et al . , 2001 ) . ... Processes are viewed as performing better or worse than each other , rather than

**optimally**or sub -

**optimally**.

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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 |