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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The second class of problems is more specific to the empirical study of normative models . This research requires , not just accounting for all the information that is available to the subject , but also for all the information that is ...
Because our normative models commonly abstract away from the way in which information is presented to decision makers — and hence they abstract from potentially important information that may leak through the speaker's choice of ...
... 304-5 normative analysis in face of resource constraints 486 normative assumption 492–9 normative complexity problems 79–80 normative justifications 487–8 normative models 485–7 , 498 normative perspective 3–4,5 normative studies 79 ...
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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 |