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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that underlie particular rational analyses . Understanding this goal requires an understanding of the nature of ' implementation , and so I turn ( in the fourth section ) to develop an account of that notion .
Finally , these cues are not categorical , but seem graded and hence probabilistically associated with the possibility of a particular constructions . This means that other constraining information would continue to be useful ( see also ...
For the particular task of forced choice testing , the situation is further simplified by taking ( 3 ) as calculated for the correct target word ( T = a ) and dividing it by Equation 3 as calculated for the incorrect foil ( T = b ) ...
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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 | |
20 other sections not shown
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 |