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 , Figure 9.1 ( b ) shows the same comparison for the non - compensatory environment . Now the other methods outperform Take The Best across the majority of sample sizes . These two environments illustrate how the performance of ...
Chapter 11 The naïve intuitive statistician : organism - environment relations from yet another angle Patrik Hansson Umeå ... consider the structure of people's real , everyday environments surface again and again in cognitive science .
Again research on causality provides an excellent example for the theory - ladenness of environmental theories . ... Step 4 , the development of a rational model , is clearly dependent on the model of the environment , and is therefore ...
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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 |