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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And this work has overwhelmingly taken the subjectivist , rather than the frequentist , view of probability , i.e. probabilities are viewed as degrees of belief . One reason for this is that , in many practical applications ...
normative probabilistic approach to the conditional provided by probability logic ( Adams , 1998 ) , it is argued that a more extreme form of the MP - MT asymmetry may be normatively defensible ( McKenzie , 2004 ) .
More generally we suggest that , when comparing probabilities , the valence of the associated outcome must be considered . The probability of a ' bad thing ' ( no matter how large ) will always be less favourable than the probability of ...
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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 |