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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They argue that this suggests that there are more cognitively relevant events with small and large probabilities than with mid - range probabilities — most events we are interested in are either likely to happen or unlikely to happen .
Optimal experimental design as a way to implement strong inference By and large , research to date suggests that human information acquisition is in good accord with rational ( Bayesian optimal experimental design ) principles , on a ...
As all these examples suggest , we need not simply abandon normative considerations in favor of unconstrained , cheap ... rationally will enjoy higher fitness ) in fact suggests that , in light of computational costs , evolution should ...
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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 |