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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algorithms in the absence of knowledge of the optimal response ( Hastie et al . , 2001 ) . Our analysis of simple heuristics , and how they perform in comparison to models carrying out more intensive forms of processing , relies on the ...
The quality of the decision ( measured in terms of accuracy per time - taken to make the response , or response - rate ) depends on the response - rule and the way in which the evidence is integrated . A variety of models have been ...
Response process Having inferred the cue validity weights , the agent must form a prediction . Under squared loss , the ( subjectively ) optimal prediction would be riz = m ,, , as in ( 8 ) . . However , since the agent must predict 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 |