Introduces principles drawn from quantum theory to present a new framework for modeling human cognition and decision.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jerome R. Busemeyer is a Professor in the Department of Psychological and Brain Sciences at Indiana University, Bloomington. His research includes mathematical models of learning and decision making and he has formulated a dynamic theory of human decision making called decision field theory. Professor Busemeyer has published over 100 articles in cognitive and decision science journals including Psychological Review and was Chief Editor of the Journal of Mathematical Psychology from 2005 to 2010.
Inhaltsangabe
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?
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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