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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As the number of associates increases , the model will put increasingly more weight on the topic route , because the topic route can better explain the associative structure when more associates are present . By putting more weight on ...
The weight of formulae with complexity C is the total probability under the posterior of such formulae : Σ P ( F | W , l ( Obs ) ) . . ( 8 ) F st . cplx ( F ) = C a Similarly , the weight of a feature in formula F is the number of times ...
Table 17.5 shows formulae found by the extended RRINE model , together with their posterior weight . The highest weight contributors are the two imperfect role - based regularities ( ʻsomeone who is loved by all ' and ' someone who is ...
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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 |