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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In general , the optimality of a program is determined by its performance relative to its competitors ; the level of description is irrelevant , except when the level is used to define the possibility space .
Stakes were ten times higher and people were required to explicitly estimate the relative frequencies of outcomes . People drew a median sample of 33 draws ( relative to 15 draws in Hertwig et al . ) from both decks .
The LCA accounts for the compromise effect because the compromise has only a small disadvantage relative to either extreme , while the extremes have one small disadvantage ( relative to the compromise ) and one large disadvantage ...
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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 |