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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This normative argument would apply to framing research if it were possible for experimenters to somehow magically endow their subjects with knowledge that A , or alternatively with knowledge that B — but this is not possible .
Fulcrum diagram to illustrate expected a question's expected utility ( at left ) as a function of the utility and probability of its possible answers ( at right ) . question is worth , we check how much weight needs to be placed 100 cm ...
Usefulness of each possible answer to F1 question , right two columns . OED model eu ( F1 ) u ( f1 ) u ( ~ 11 ) probability gain 0.1650 0.0000 0.2463 information gain 0.5198 0.0000 0.7758 KL distance 0.5198 0.7925 0.3855 0.3300 0.5000 ...
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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 |