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 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 216
In addition , with increasingly larger ns , the rule grows more likely to select the gamble with the highest objective expected value . With smaller samples , in contrast , the heuristic runs the risk of selecting the inferior gamble .
In addition , with increasingly larger ns , the rule grows more likely to select the gamble with the highest objective expected value . With smaller samples , in contrast , the heuristic runs the risk of selecting the inferior gamble .
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10.1 plots the expected absolute values of the experienced differences for the natural mean heuristic , across all gambles . The straight line represents the average description difference ( 15.2 ) . Assuming the natural mean heuristic ...
10.1 plots the expected absolute values of the experienced differences for the natural mean heuristic , across all gambles . The straight line represents the average description difference ( 15.2 ) . Assuming the natural mean heuristic ...
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According to expected utility theory , each monetary amount should be transformed into a utility and then the ... Prominent descriptive models derived from the expected utility framework include : subjective expected utility theory ...
According to expected utility theory , each monetary amount should be transformed into a utility and then the ... Prominent descriptive models derived from the expected utility framework include : subjective expected utility theory ...
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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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Other editions - View all
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 topic trials University utility variables weight