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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no a priori basis for considering the partial correlation more correct than the zero - order correlation . ... ( e ) When it comes to correlations over time , spectral analysis or time series analysis tells us that the correlation that ...
As indicated by Robinson ( 1950 ) and explained statistically by Hammond ( 1973 ) , the correlation between race and illiteracy can be close to zero when computed across individuals . However , when computed at the level of districts or ...
Thus , the true correlation between students ' motivation and their ability was by definition zero , because individual ... Nevertheless , distinct PC effects reflected subjectively inferred correlations between motivation and ability .
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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 |