## 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. |

### From inside the book

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... relation continuum 394 feature values 151 fitted learning model 410 fluency prediction with

**PageRank**332–6 fluid intelligence 254–5 forced-choice ...

... 248, 249–56 overestimation 101

**PageRank**algorithm 330–6, 346–7 paired-sample t-tests 421 paradoxes 103 parallel distributed processes 295 parameterized ...

... rational analysis as link between memory and information retrieval 329–47 fluency prediction with

**PageRank**332–6 probabilistic approach 331–32 see also ...