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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Alongside these a priori normative arguments stands a more practical reason to take probabilistic models of the mind seriously , which arises from artificial intelligence , and related fields such as computer vision and computational ...
1 а but also how relevant information can be retrieved , using probabilistic principles . This work can be viewed as a natural follow - on from Anderson and colleagues ' pioneering rational analyses of memory ( Anderson & Milson ...
... 438 , 444-6 primer on probabilistic inference 33–54 algorithims for inference 47-50 Bayesian inference , fundamentals of 34–42 hidden Markov models 51-2 probabilistic context - free grammars 52–3 structured probability distributions ...
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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 |