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. |
From inside the book
Both theories claim that the goal of causal learning is to adapt to the causal texture of the world , but based on different assumptions about cognitive capacities their answers are different . The search for minimality highlights the ...
Causal learning : Psychology , philosophy , and computation . Oxford University Press . Gopnik , A. , & Schulz , L. E. ( 2004 ) . Mechanisms of theory - formation in young children . Trends in Cognitive Sciences , 8 , 371–377 .
These findings demonstrate some rationality in causal learning in young children . Evidence against rationality Not all aspects of causal learning have a rational justification . Even within the contingency learning paradigm there is ...
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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 |