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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Artificial intelligence , for example , usually concerns itself with the study of problems for which the optimal solution is ... For the problem of inductive inference , ideal forms of rational calculation are uncomputable ( Solomonoff ...
Problems 1 and 2 are a variant of the Allais ( 1953 ) common consequence effect . Problem 2 is generated from Problem 1 by removing a .66 chance of 2,400 from both prospects .
Problems 11 and 12 also follow this pattern and show the same effect . Here , however , an initial bonus of 1,000 was given before Problem 11 and 2,000 before Problem 12. Participants failed to integrate the bonus with the gains and ...
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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 |