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
Results 1-3 of 66
Page 85
... Reference Points in Attribute Framing . The reference point hypothesis ( McKenzie & Nelson , 2003 ; Sher & McKenzie , 2006 ) concerns situations in which some reference point level of X1 is salient to the speaker . This may be the ...
... Reference Points in Attribute Framing . The reference point hypothesis ( McKenzie & Nelson , 2003 ; Sher & McKenzie , 2006 ) concerns situations in which some reference point level of X1 is salient to the speaker . This may be the ...
Page 86
... reference point for the number of black outcomes out of six rolls would be five , while for the second group it would be one . Participants were not informed that the dice were weighted . For some participants , the die was weighted to ...
... reference point for the number of black outcomes out of six rolls would be five , while for the second group it would be one . Participants were not informed that the dice were weighted . For some participants , the die was weighted to ...
Page 87
... reference level of a choice - relevant variable , rational actors will exhibit a valence - consistent shift . Implicit Recommendations in Attribute Framing . The reference point hypothesis implies that choice - relevant information is ...
... reference level of a choice - relevant variable , rational actors will exhibit a valence - consistent shift . Implicit Recommendations in Attribute Framing . The reference point hypothesis implies that choice - relevant information is ...
Contents
prospects for a Bayesian cognitive science | 3 |
A primer on probabilistic inference | 33 |
Rational analyses instrumentalism and implementations | 59 |
Copyright | |
20 other sections not shown
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 trials University utility variables weight