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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The model's choice pattern depends essentially on the relative values of the decay and the inhibition parameters . When decay exceeds inhibition the model exhibits recency ( it favours information that arrives late in time ) , but when ...
How well an individual can perceive , judge , or predict the criterion ( we will use the generic term ' respond ' from now on ) , depends on the relation between the cues and the criterion . Adopting the standard terminology , we will ...
Learning about the weight from the outcome then depends on unobserved information : which stimulus was chosen . Expectationmaximization methods ( Dempster et al . , 1977 ; Griffiths and Yuille , this volume ) address this problem by ...
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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 |