Much of our understanding of human thinking is based on probabilistic models. By using principles drawn from quantum theory to provide the foundations for modeling probabilistic-dynamic systems, the authors open a new frontier for modeling cognitive phenomena and human decision making.

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.

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?