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The Probabilistic Mind: Prospects for Bayesian Cognitive Science
Contributor(s): Chater, Nick (Editor), Oaksford, Mike (Editor)
ISBN: 0199216096     ISBN-13: 9780199216093
Publisher: Oxford University Press, USA
OUR PRICE:   $93.10  
Product Type: Paperback - Other Formats
Published: June 2008
Qty:
Annotation: 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.
Additional Information
BISAC Categories:
- Psychology | Cognitive Psychology & Cognition
Dewey: 153
LCCN: 2008274541
Physical Information: 1.08" H x 6.14" W x 9.21" (1.63 lbs) 534 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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.