The Probabilistic Mind: Prospects for Bayesian Cognitive ScienceNick Chater, Mike Oaksford The 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 methods. It synthesizes and evaluates the progress in the past decade, taking into account developments in Bayesian statistics, statistical analysis of the cognitive 'environment' and a variety of theoretical and experimental lines of research. The scope of the book is broad, covering important recent work in reasoning, decision making, categorization, and memory. Including chapters from many of the leading figures in this field, The Probabilistic Mind will be valuable for psychologists and philosophers interested in cognition. |
From inside the book
Results 11-12 of 12
... processing 11 of thought hypothesis 399 Laplace's principle of indifference 222-4 Latent Dirichlet Allocation 337-40 ... process 417-19 rate 418 roles 394-8 supervised 557 unsupervised 53 see also Bayesian learning ; causal reasoning and ...
... processing 51 stability 202 standard choice rule 306 standard classification task 308 standard logic 99 , 102-3 ... Dirichlet process 320-23 uniform distribution 40-1 , 271 unobserved variables 43 unpredicted configurations 116–17 ...
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The Probabilistic Mind: Prospects for Bayesian Cognitive Science Nick Chater,Mike Oaksford No preview available - 2008 |