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- 2011051232 contributor B12160034.
- 2011051232 contributor B12160035.
- 2011051232 date "2012".
- 2011051232 description "Includes bibliographical references (page 385-402) and index.".
- 2011051232 description "Machine generated contents note: 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?.".
- 2011051232 extent "xiv, 407 pages :".
- 2011051232 identifier "9781107011991".
- 2011051232 identifier 2011051232-b.html.
- 2011051232 identifier 2011051232-d.html.
- 2011051232 identifier 2011051232-t.html.
- 2011051232 issued "2012".
- 2011051232 language "eng".
- 2011051232 subject "530.12 23".
- 2011051232 subject "Cognition Mathematical models.".
- 2011051232 subject "Decision making Mathematical models.".
- 2011051232 subject "PSYCHOLOGY / Cognitive Psychology. bisacsh".
- 2011051232 subject "QA279.4 .B87 2012".
- 2011051232 subject "Quantum theory.".
- 2011051232 subject "Statistical decision.".
- 2011051232 tableOfContents "Machine generated contents note: 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?.".
- 2011051232 title "Quantum models of cognition and decision / Jerome R. Busemeyer, Peter D. Bruza.".
- 2011051232 type "text".