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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Or , alternatively , rather than taking the sample at face value the sample's parameters ( i.e. , outcomes and probabilities ) may be interpreted through prospect theory's value and weighting function . In what follows , we examine both ...
through an averaging operation and in which recent outcomes can have more weight than previous ones . Due to this recency weighting ( for example see Hertwig et al . , 2006 ) , experiential - learning models would yield amplified ...
The job of the subject , on this view , is to estimate the posterior distribution P ( w | D ) from past outcomes so ... W7 + 1 Parameterized output distribution One standard assumption is that the outcome r , on trial t is drawn from a ...
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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 |