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 334
... semantic networks The idea that that the pieces of information that are the targets of retrieval are connected to one another is not exclusive to web pages - it also appears in cognitive psychology . In an associative semantic network ...
... semantic networks The idea that that the pieces of information that are the targets of retrieval are connected to one another is not exclusive to web pages - it also appears in cognitive psychology . In an associative semantic network ...
Page 340
... semantic characteristics , by presenting a word on a list in a unique color or font or drawing a word from a novel semantic category . Semantic iso- lation effects occur when words that semantically stand out from the list are better ...
... semantic characteristics , by presenting a word on a list in a unique color or font or drawing a word from a novel semantic category . Semantic iso- lation effects occur when words that semantically stand out from the list are better ...
Page 341
... semantic isolation experiments by Hunt and Lamb ( 2001 ) . The outlier list has one target word ( HAMMER ) , which is semantically iso- lated from the background . The control list uses the same target word in a semantically congruous ...
... semantic isolation experiments by Hunt and Lamb ( 2001 ) . The outlier list has one target word ( HAMMER ) , which is semantically iso- lated from the background . The control list uses the same target word in a semantically congruous ...
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