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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( 2 ) This drug is safe because we have no evidence that it is not . In an argument from ignorance , the absence of a proof or evidence to contradict a proposition is taken as establishing that the proposition is true .
However , they seem intuitively informative at least to some extent , and there is some experimental evidence to support the usage of both preemption and entrenchment by children ( Brooks & Tomasello , 1999 ; Brooks & Zizak ...
To appreciate the argument that small samples render choice simpler let us first turn to a distinction discussed by Griffin and Tversky ( 1992 ) , namely , that between the strength and the weight of evidence .
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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 |