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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Second , the resources required to represent and reason about probability distributions increase exponentially in the number ... which is extremely intuitive , and simplifies both representing and reasoning about those distributions .
Each vertical column represents a different time step . ... All nodes represent discrete distributions over all possible objects and all nodes include noise as a possible source , with probability y ( not shown ) . relationships between ...
The vertical bars in each simulation demonstrate that both simulations are able to faithfully represent the order of the last ... in both simulations the object layer Be represents the current object , the first working memory buffer B ...
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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 |