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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For example , imagine that rather than choosing between two alternatives for the probability that a coin produces ... 0 = 1.0 after seeing the sequence HHHHHHHHHH implies that we should predict that the coin would never produce tails .
Using a little calculus , it is possible to show that the posterior distribution over produced by a sequence d with ... we should predict that 2 the next toss will produce a head with probability , while a sequence of ten heads 3 a 11 ...
The neural habituation model of Huber and O'Reilly ( 2003 ) not only produces realistic habituation functions with ongoing stimulation , but it also produces behaviors at the offset of a stimulus that correspond to the finding that some ...
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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 |