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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... PageRank 332–6 fluid intelligence 254–5 forced-choice testing 353–4, 358, 360, 361 form-based matching 336 format dependence 244 format-experience dissociation 248, 251–2 format-short-term memory dissociation 248 forward blocking 436–9 ...
... PageRank algorithm 330–6, 346–7 paired-sample t-tests 421 paradoxes 103 parallel distributed processes 295 parameterized output distribution 433–4 parametric density estimation 309 parsing 11–12, 52–3 part-of-speech tagging 52 particle ...
... PageRank 332–6 probabilistic approach 331–32 see also topic models to extract verbatim and gist information rational inference 419 rational listener 86–7 Rational Model of Categorization 310–11, 313, 315, 317–18, 320, 325 rational ...
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The Probabilistic Mind: Prospects for Bayesian Cognitive Science Nick Chater,Mike Oaksford No preview available - 2008 |