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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Page 215
... SAMPLING MAY BE DESTINED TO BE FRUGAL | 215 in Problem 1 if respondents had calculated the observed sample mean for each deck and deterministically chosen the gamble with the larger mean , the median sample size of seven draws from each ...
... SAMPLING MAY BE DESTINED TO BE FRUGAL | 215 in Problem 1 if respondents had calculated the observed sample mean for each deck and deterministically chosen the gamble with the larger mean , the median sample size of seven draws from each ...
Page 224
... sample , the more veridically the experienced difference reflects the objective difference between the gambles . Therefore , searchers who sample extensively - say , 25 draws per deck - could thus maximize their earnings by being able ...
... sample , the more veridically the experienced difference reflects the objective difference between the gambles . Therefore , searchers who sample extensively - say , 25 draws per deck - could thus maximize their earnings by being able ...
Page 246
... sample proportion , these judgments should show minor amounts of overconfidence . Interval production involves ... sample dispersion D is an inherently biased estimator of population dispersion d ( this is why the variance in a sample is ...
... sample proportion , these judgments should show minor amounts of overconfidence . Interval production involves ... sample dispersion D is an inherently biased estimator of population dispersion d ( this is why the variance in a sample is ...
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