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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а а mathematical relation holds between the equations of the two theories , rather than just the input - output functions . The two notions of implementation are logically independent ( Danks , submitted ) , though in practice ...
We would particularly like to know if the reliance on features relative to that on relations is expected to change over time ... As a measure of feature and relation weights we use the posterior expectation of the number of features or ...
According to many learning theories , causal predictions are driven by associative relations that have been learned on the ... between causal and spurious statistical relations , such as the relation between barometers and the weather .
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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 |