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LEADER 04104cam a2200565 i 4500

001 ocn768728941;

003 OCoLC;

005 20141212033220.0;

008 111212s2012 enka b 001 0 eng ;

010 a| 2011051232;

016 7 a| 0160726752| Uk;

020 a| 9781107011991;

020 a| 110701199X;

029 1 a| AU@b| 000048282805;

035 a| (Sirsi) o768728941;

035 a| (OCoLC)768728941;

042 a| pcc;

049 a| EREE;

050 00 a| QA279.4b| .B87 2012;

082 00 a| 530.122| 23;

084 a| PSY0080002| bisacsh;

100 1 a| Busemeyer, Jerome R.=| ^A1150648;

245 10 a| Quantum models of cognition and decision /c| Jerome R. Busemeyer, Peter D. Bruza.;

264 1 a| Cambridge :b| Cambridge University Press,c| 2012.;

300 a| xiv, 407 pages :b| illustrations ;c| 24 cm;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

520 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.;

504 a| Includes bibliographical references (page 385-402) and index.;

505 0 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?.;

650 0 a| Decision makingx| Mathematical models.=| ^A18292;

650 0 a| Statistical decision.=| ^A16244;

650 0 a| Cognitionx| Mathematical models.=| ^A1673;

650 0 a| Quantum theory.=| ^A19752;

700 1 a| Bruza, Peter David,d| 1962-=| ^A1153728;

856 42 3| Contributor biographical informationu| http://catdir.loc.gov/catdir/enhancements/fy1205/2011051232-b.html;

856 42 3| Publisher descriptionu| http://catdir.loc.gov/catdir/enhancements/fy1205/2011051232-d.html;

856 41 3| Table of contents onlyu| http://catdir.loc.gov/catdir/enhancements/fy1205/2011051232-t.html;

949 a| QA279.4 .B87 2012h| JOYNER48o| jmpli| 30372016329374;

938 a| Baker and Taylorb| BTCPn| BK0010853887;

938 a| YBP Library Servicesb| YANKn| 7217300;

938 a| YBP Library Services UKb| YBPKn| 7217300;

938 a| Coutts Information Servicesb| COUTn| 19875802;

938 a| Blackwell Book Serviceb| BBUSn| 7217300;

994 a| C0b| ERE;

596 a| 1;

998 a| 3124844;

999 a| QA279.4 .B87 2012w| LCc| 1i| 30372016329374d| 9/16/2015e| 7/13/2015l| JGESm| JOYNERn| 2r| Ys| Yt| JGESBKu| 4/23/2013x| BOOKz| JSTACKSo| .STAFF. jmpl;

Quantum models of cognition and decision / Jerome R. Busemeyer, Peter D. Bruza.

Author/creator	Busemeyer, Jerome R.
Other author	Bruza, Peter David, 1962-
Format	Book
Publication	Cambridge : Cambridge University Press, 2012.
Description	xiv, 407 pages : illustrations ; 24 cm
Supplemental Content	Contributor biographical information
Supplemental Content	Publisher description
Supplemental Content	Table of contents only
Subjects	Decision making--Mathematical models. Statistical decision. Cognition--Mathematical models. Quantum theory.

Contents	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?.
Abstract	"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"-- Provided by publisher.
Bibliography note	Includes bibliographical references (page 385-402) and index.
LCCN	2011051232
ISBN	9781107011991
ISBN	110701199X

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Joyner	General Stacks	QA279.4 .B87 2012	✔ Available	Place Hold

Quantum models of cognition and decision / Jerome R. Busemeyer, Peter D. Bruza.

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