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
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... Dirichlet process 320-3 category learning 303–4 causal Bayes nets 459–61 , 463 , 470 , 472–3 , 475 , 477-9 , 480 causal chain model 460 , 469 , 472-3 , 479 causal graphical models 45 causal learning : minimal rational model 453–81 basic ...
... process 268 difference threshold 271 implicit zero outcomes 265 improper linear model 273 Kahneman and Tversky data ... Dirichlet distributions 338 , 386 Dirichlet prior 339 , 341 Dirichlet process 311-13 , 320-5 mixture model 311-13 ...
... Dirichlet process 320-3 , 324-5 higher - order dependencies in hidden Markov model 267 higher - order memory codes 182-3 highlighting 432 , 438-40 , 442–8 hypothesis : -confirming features 158–9 space 35 , 379 testing 40 , 91-3 ...
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The Probabilistic Mind: Prospects for Bayesian Cognitive Science Nick Chater,Mike Oaksford No preview available - 2008 |