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Quantum Models of Cognition and Decision
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Bibliographic Detail
Publisher Cambridge Univ Pr
Publication date June 19, 2014
Pages 407
Binding Paperback
Edition Reissue
Book category Adult Non-Fiction
ISBN-13 9781107419889
ISBN-10 1107419883
Dimensions 1 by 6 by 9 in.
Weight 1.35 lbs.
Original list price $54.99
Other format details university press
Summaries and Reviews
Amazon.com description: Product Description: Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modelling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, 'quantum entanglement', allows cognitive phenomena to be modeled in non-reductionist ways. Employing these principles drawn from quantum theory allows us to view human cognition and decision in a totally new light. Introducing the basic principles in an easy-to-follow way, this book does not assume a physics background or a quantum brain and comes complete with a tutorial and fully worked-out applications in important areas of cognition and decision.

Editions
Hardcover
Book cover for 9781107011991
 
With Jerome R. Busemeyer | from Cambridge Univ Pr (September 17, 2012)
9781107011991 | details & prices | 407 pages | 6.50 × 9.50 × 1.00 in. | 1.65 lbs | List price $125.00
About: Much of our understanding of human thinking is based on probabilistic models.
Paperback
Book cover for 9781107419889
 
The price comparison is for this edition
With Jerome R. Busemeyer | Reissue edition from Cambridge Univ Pr (June 19, 2014)
9781107419889 | details & prices | 407 pages | 6.00 × 9.00 × 1.00 in. | 1.35 lbs | List price $54.99
About: Much of our understanding of human thinking is based on probabilistic models.

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