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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Our understanding of P ( q | p ) is given by the subjective interpretation provided by the Ramsey Test . As Bennett ( 2003 , p . 53 ) says : The best definition we have ( of conditional probability ) is the one provided by the Ramsey ...
Given that explicit negative feedback is rare , this means that it is most likely that an ungrammatical construction will simply never be mentioned at all , either positively or negatively , i.e. , P ( nl - C ) is very high , and the ...
The sequential learner first experiences the usefulness of the first question ( F1 , about whether feature 1 is present ) , and then experiences the usefulness of the second question ( F2 ) , given what they already learned about the ...
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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 |