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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а probabilistic calculations can be approximated cheaply , by analogy with heuristicbased approaches to decision making , is not clear . A more general objection to the probabilistic approach to cognition , which we have touched on ...
Technical developments in coding - based approaches to inference ( e.g. , Barron et al . ... whether a coding - based approach to inference should be viewed as a variant of the probabilistic account ( i.e. , roughly , as using code ...
Second : in contrast to in these earlier approaches , with rational analysis rationality is not the subject of ... The last years has seen the birth of yet another approach to ecological psychology , emphasizing the distinction between ...
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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 |