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|a Busemeyer, Jerome R.
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|a Quantum models of cognition and decision /
|c Jerome R. Busemeyer, Peter D. Bruza.
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|a Cambridge :
|b Cambridge University Press,
|c 2012.
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300 |
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|a 1 online resource (xvi, 407 pages) :
|b illustrations
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|a Includes bibliographical references.
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|a 1. Why use quantum theory for cognition and decision? Some compelling reasons -- 2. What is quantum theory? An elementary introduction -- 3. What can quantum theory predict? Predicting question order effects on attitudes -- 4. How to apply quantum theory? Accounting for human probability judgment errors -- 5. Quantum-inspired models of concept combination -- 6. An application of quantum theory to conjoint memory recognition -- 7. Quantum-like models of human semantic space -- 8. What about quantum dynamics? More advanced principles -- 9. What is the quantum advantage? Applications to decision making -- 10. How to model human information processing using quantum information theory -- 11. Can quantum systems learn? Quantum updating -- 12. What are the future prospects for quantum cognition and decision?
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|a "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 modeling 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 a non-reductionist way. 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"--
|c Provided by publisher
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588 |
0 |
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|a Print version record.
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546 |
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|a English.
|
590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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0 |
|a Decision making
|x Mathematical models.
|
650 |
|
0 |
|a Statistical decision.
|
650 |
|
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|a Cognition
|x Mathematical models.
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650 |
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|a Quantum theory.
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650 |
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0 |
|a Statistics.
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650 |
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|a Cognition.
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|a Decision making.
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2 |
|a Models, Statistical
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2 |
|a Statistics as Topic
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650 |
2 |
2 |
|a Cognition
|
650 |
2 |
2 |
|a Decision Making
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650 |
2 |
2 |
|a Quantum Theory
|
650 |
|
2 |
|a Decision Support Techniques
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650 |
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6 |
|a Prise de décision
|x Modèles mathématiques.
|
650 |
|
6 |
|a Prise de décision (Statistique)
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650 |
|
6 |
|a Cognition
|x Modèles mathématiques.
|
650 |
|
6 |
|a Théorie quantique.
|
650 |
|
6 |
|a Statistiques.
|
650 |
|
6 |
|a Cognition.
|
650 |
|
6 |
|a Prise de décision.
|
650 |
|
6 |
|a Statistique.
|
650 |
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7 |
|a cognition.
|2 aat
|
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|
7 |
|a decision making.
|2 aat
|
650 |
|
7 |
|a statistics.
|2 aat
|
650 |
|
7 |
|a PSYCHOLOGY
|x Cognitive Psychology.
|2 bisacsh
|
650 |
|
7 |
|a SCIENCE
|x Physics
|x Quantum Theory.
|2 bisacsh
|
650 |
|
7 |
|a Statistics
|2 fast
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650 |
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7 |
|a Decision making
|2 fast
|
650 |
|
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|a Cognition
|2 fast
|
650 |
|
7 |
|a Cognition
|x Mathematical models
|2 fast
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|a Decision making
|x Mathematical models
|2 fast
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|a Quantum theory
|2 fast
|
650 |
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|a Statistical decision
|2 fast
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700 |
1 |
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|a Bruza, Peter David,
|d 1962-
|
758 |
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|i has work:
|a Quantum models of cognition and decision (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGRMrdyy6X8jGtRGpvhj4q
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Busemeyer, Jerome R.
|t Quantum models of cognition and decision.
|d Cambridge : Cambridge University Press, 2012
|z 9781107011991
|w (DLC) 2011051232
|w (OCoLC)768728941
|
856 |
4 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=977169
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