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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Using a little calculus , it is possible to show that the posterior distribution over produced by a sequence d with Ny heads and N , tails is ( Ny + N , + p ( Old ) N , ! N ,! ( 13 ) This is actually a distribution of a well known form ...
a a Another class of algorithms , Markov chain Monte Carlo ( MCMC ) methods , provide a means of obtaining samples from complex distributions , which can be used both for inferring the values of latent variables and for identifying the ...
Topic models Topic models such as PLSI and LDA are based upon the idea that documents are mixtures of topics , where a topic is a probability distribution over words . A topic model is a generative model for documents : it specifies a ...
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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 |