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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In general , the granularity of specification in U sets an upper bound for all implementing theories : I cannot implement U unless its sequence of function calls is more specific . This notion of implementation ' appropriately captures ...
program , ranging from a single function call at the most abstract , downward in a series of increasingly precise expressions of the program . The current view in cognitive science that there is a special computational level is ...
development of the function in which the optimality of the function plays an important causal role . ) But we are not interested simply in optimality analyses ; we want optimality analyses — and optimality - based explanations — that ...
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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 |