Quantum models of cognition and decision /:
"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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge :
Cambridge University Press,
2012.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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"-- |
| Beschreibung: | 1 online resource (xvi, 407 pages) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781139525930 113952593X 9780511997716 051199771X 1107239575 9781107239579 1107228999 9781107228993 1283522004 9781283522007 9786613834454 6613834459 1139527134 9781139527132 1139531794 9781139531795 1139530607 9781139530606 9781107419889 1107419883 |
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| 245 | 1 | 0 | |a Quantum models of cognition and decision / |c Jerome R. Busemeyer, Peter D. Bruza. |
| 260 | |a Cambridge : |b Cambridge University Press, |c 2012. | ||
| 300 | |a 1 online resource (xvi, 407 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references. | ||
| 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? | |
| 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 | ||
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
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| 650 | 0 | |a Cognition |x Mathematical models. | |
| 650 | 0 | |a Quantum theory. |0 http://id.loc.gov/authorities/subjects/sh85109469 | |
| 650 | 0 | |a Statistics. |0 http://id.loc.gov/authorities/subjects/sh85127580 | |
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| 650 | 2 | |a Decision Support Techniques |0 https://id.nlm.nih.gov/mesh/D003661 | |
| 650 | 6 | |a Prise de décision |x Modèles mathématiques. | |
| 650 | 6 | |a Prise de décision (Statistique) | |
| 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. | |
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Datensatz im Suchindex
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| 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? |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-4-EBA-ocn804845628 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:24:52Z |
| institution | BVB |
| isbn | 9781139525930 113952593X 9780511997716 051199771X 1107239575 9781107239579 1107228999 9781107228993 1283522004 9781283522007 9786613834454 6613834459 1139527134 9781139527132 1139531794 9781139531795 1139530607 9781139530606 9781107419889 1107419883 |
| language | English |
| oclc_num | 804845628 |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xvi, 407 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2012 |
| publishDateSearch | 2012 |
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| publisher | Cambridge University Press, |
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| spelling | Busemeyer, Jerome R. Quantum models of cognition and decision / Jerome R. Busemeyer, Peter D. Bruza. Cambridge : Cambridge University Press, 2012. 1 online resource (xvi, 407 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier polychrome rdacc illustration rdaill text file rdaft Includes bibliographical references. 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? "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 Print version record. English. Decision making Mathematical models. http://id.loc.gov/authorities/subjects/sh85036200 Statistical decision. http://id.loc.gov/authorities/subjects/sh85127565 Cognition Mathematical models. Quantum theory. http://id.loc.gov/authorities/subjects/sh85109469 Statistics. http://id.loc.gov/authorities/subjects/sh85127580 Cognition. http://id.loc.gov/authorities/subjects/sh85027742 Decision making. http://id.loc.gov/authorities/subjects/sh85036199 Models, Statistical Statistics as Topic Cognition Decision Making Quantum Theory Decision Support Techniques https://id.nlm.nih.gov/mesh/D003661 Prise de décision Modèles mathématiques. Prise de décision (Statistique) Cognition Modèles mathématiques. Théorie quantique. Statistiques. Cognition. Prise de décision. Statistique. cognition. aat decision making. aat statistics. aat PSYCHOLOGY Cognitive Psychology. bisacsh SCIENCE Physics Quantum Theory. bisacsh Statistics fast Decision making fast Cognition fast Cognition Mathematical models fast Decision making Mathematical models fast Quantum theory fast Statistical decision fast Electronic books. Bruza, Peter David, 1962- http://id.loc.gov/authorities/names/no2007109868 has work: Quantum models of cognition and decision (Text) https://id.oclc.org/worldcat/entity/E39PCGRMrdyy6X8jGtRGpvhj4q https://id.oclc.org/worldcat/ontology/hasWork Print version: Busemeyer, Jerome R. Quantum models of cognition and decision. Cambridge : Cambridge University Press, 2012 9781107011991 (DLC) 2011051232 (OCoLC)768728941 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=465706 Volltext |
| spellingShingle | Busemeyer, Jerome R. Quantum models of cognition and decision / 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? Decision making Mathematical models. http://id.loc.gov/authorities/subjects/sh85036200 Statistical decision. http://id.loc.gov/authorities/subjects/sh85127565 Cognition Mathematical models. Quantum theory. http://id.loc.gov/authorities/subjects/sh85109469 Statistics. http://id.loc.gov/authorities/subjects/sh85127580 Cognition. http://id.loc.gov/authorities/subjects/sh85027742 Decision making. http://id.loc.gov/authorities/subjects/sh85036199 Models, Statistical Statistics as Topic Cognition Decision Making Quantum Theory Decision Support Techniques https://id.nlm.nih.gov/mesh/D003661 Prise de décision Modèles mathématiques. Prise de décision (Statistique) Cognition Modèles mathématiques. Théorie quantique. Statistiques. Cognition. Prise de décision. Statistique. cognition. aat decision making. aat statistics. aat PSYCHOLOGY Cognitive Psychology. bisacsh SCIENCE Physics Quantum Theory. bisacsh Statistics fast Decision making fast Cognition fast Cognition Mathematical models fast Decision making Mathematical models fast Quantum theory fast Statistical decision fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85036200 http://id.loc.gov/authorities/subjects/sh85127565 http://id.loc.gov/authorities/subjects/sh85109469 http://id.loc.gov/authorities/subjects/sh85127580 http://id.loc.gov/authorities/subjects/sh85027742 http://id.loc.gov/authorities/subjects/sh85036199 https://id.nlm.nih.gov/mesh/D003661 |
| title | Quantum models of cognition and decision / |
| title_auth | Quantum models of cognition and decision / |
| title_exact_search | Quantum models of cognition and decision / |
| title_full | Quantum models of cognition and decision / Jerome R. Busemeyer, Peter D. Bruza. |
| title_fullStr | Quantum models of cognition and decision / Jerome R. Busemeyer, Peter D. Bruza. |
| title_full_unstemmed | Quantum models of cognition and decision / Jerome R. Busemeyer, Peter D. Bruza. |
| title_short | Quantum models of cognition and decision / |
| title_sort | quantum models of cognition and decision |
| topic | Decision making Mathematical models. http://id.loc.gov/authorities/subjects/sh85036200 Statistical decision. http://id.loc.gov/authorities/subjects/sh85127565 Cognition Mathematical models. Quantum theory. http://id.loc.gov/authorities/subjects/sh85109469 Statistics. http://id.loc.gov/authorities/subjects/sh85127580 Cognition. http://id.loc.gov/authorities/subjects/sh85027742 Decision making. http://id.loc.gov/authorities/subjects/sh85036199 Models, Statistical Statistics as Topic Cognition Decision Making Quantum Theory Decision Support Techniques https://id.nlm.nih.gov/mesh/D003661 Prise de décision Modèles mathématiques. Prise de décision (Statistique) Cognition Modèles mathématiques. Théorie quantique. Statistiques. Cognition. Prise de décision. Statistique. cognition. aat decision making. aat statistics. aat PSYCHOLOGY Cognitive Psychology. bisacsh SCIENCE Physics Quantum Theory. bisacsh Statistics fast Decision making fast Cognition fast Cognition Mathematical models fast Decision making Mathematical models fast Quantum theory fast Statistical decision fast |
| topic_facet | Decision making Mathematical models. Statistical decision. Cognition Mathematical models. Quantum theory. Statistics. Cognition. Decision making. Models, Statistical Statistics as Topic Cognition Decision Making Quantum Theory Decision Support Techniques Prise de décision Modèles mathématiques. Prise de décision (Statistique) Cognition Modèles mathématiques. Théorie quantique. Statistiques. Prise de décision. Statistique. cognition. decision making. statistics. PSYCHOLOGY Cognitive Psychology. SCIENCE Physics Quantum Theory. Statistics Decision making Cognition Mathematical models Decision making Mathematical models Quantum theory Statistical decision Electronic books. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=465706 |
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