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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They argue that this machinery provides valuable insights into the representation of causality — and , as we noted above , extending the representational power of probabilistic method is of crucial importance . But they suggest that the ...
Because our normative models commonly abstract away from the way in which information is presented to decision makers — and hence they abstract from potentially important information that may leak through the speaker's choice of ...
The prior probability , P ( d ; ) , can be used to capture the idea that not all items are equally important , with some items being more likely to be the target of retrieval . In search engines , this prior probability is often ...
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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 |