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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More importantly , the present analysis implies that the use of rational analyses is entirely orthogonal to the ... of realist commitment to theoretical elements , while rational analysis is a tool by which to develop the theories .
a a of rational analysis at the computational level . As just one example , Take - the - Best , combined with the Recognition Heuristic , provides a mechanism explanation of behavior in binary choice problems with limited information ...
Brown University , Providence , RI , USA Our goal in this chapter is a rational analysis of human causal reasoning and learning . We take a rational analysis to be an assessment of the fit between data and a certain kind of model ...
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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 |