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. |
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Page 14
Prospects for Bayesian Cognitive Science Nick Chater, Mike Oaksford. The next chapter , by Oaksford and Chater , also focuses on the influence of prag- matic factors on reasoning - focussing on a prima facie puzzle for both logical and ...
Prospects for Bayesian Cognitive Science Nick Chater, Mike Oaksford. The next chapter , by Oaksford and Chater , also focuses on the influence of prag- matic factors on reasoning - focussing on a prima facie puzzle for both logical and ...
Page 108
... Oaksford and Chater's ( 1994 , 1996 , 2003e ) account of data selection in the Wason selection task . Oaksford and Chater ( 2007 ) found that PR ( qp ) based on a single counterexample provided better fits to the data on condi- tional ...
... Oaksford and Chater's ( 1994 , 1996 , 2003e ) account of data selection in the Wason selection task . Oaksford and Chater ( 2007 ) found that PR ( qp ) based on a single counterexample provided better fits to the data on condi- tional ...
Page 111
... Oaksford and Chater ( 2007 ) proposed that Oaksford et al.'s ( 2000 ) model needed to be adjusted to take account of the fact that people are likely to treat Po ( qp ) as higher for MP than for the remaining inferences . One way to ...
... Oaksford and Chater ( 2007 ) proposed that Oaksford et al.'s ( 2000 ) model needed to be adjusted to take account of the fact that people are likely to treat Po ( qp ) as higher for MP than for the remaining inferences . One way to ...
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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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 |
Common terms and phrases
algorithm alternative analysis approach approximate argument associated assumed assumption attribute Bayesian behavior beliefs Cambridge causal cause Chater choice cluster cognitive complexity computational concept conditional consider correlation decision depends described developed distribution effect environment estimate et al evidence example expected experience experimental explain framing function given heuristic human hypothesis important individual inference involved Journal judgment language learning logic mean memory methods natural normative Oaksford objects observed optimal options outcomes parameters participants particular performance possible posterior predictions present Press principle prior probabilistic probability problem produce prospect Psychological question rational rational analysis reasoning reference relation relative represent representation require response Review rule sample Science selection semantic shows similar simple statistical structure subjective suggest task theory tion trials University utility variables weight