The Probabilistic Mind: Prospects for Bayesian Cognitive Science

Front Cover
Nick Chater, Mike Oaksford
Oxford University Press, 2008 - Psychology - 525 pages
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 85

Page 39
... mean is H NH + 1 Na + N +2 · 2 mean is sensitive to the fact that we might not want to put as much weight in a single head as a sequence of ten heads in a row : on seeing a single head , we should predict that the next toss will produce ...
Page 112
... mean = 0.41 [ SD = 0.10 ] ; PR ( qlp ) = 0.85 : mean = 0.50 [ SD = 0.11 ] ) , and for Po ( q ) , t ( 58 ) = 4.88 ( PR ( q \ p ) = 0.5 : mean = 0.52 [ SD = 0.09 ] ; PR ( q \ p ) = 0.85 : mean = 0.66 [ SD = 0.09 ] ) . The model provided a ...
Page 215
... means . The natural mean heuristic consists of two steps : Step 1. Calculate the sample mean for each deck , SMA and SMB by summing all the expe- rienced ( sampled ) outcomes in the respective decks , and dividing by respective sample ...

Where's the rest of this book?

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 trials University utility variables weight

Bibliographic information

QR code for The Probabilistic Mind
TitleThe Probabilistic Mind: Prospects for Bayesian Cognitive Science
EditorsNick Chater, Mike Oaksford
Editionillustrated, reprint
PublisherOxford University Press, 2008
Original fromthe University of Michigan
Digitized30 Oct 2008
ISBN0199216096, 9780199216093
Length525 pages
Subjects › 

Psychology / Cognitive Psychology & Cognition
  
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