04128nam 22007332 450 991046542980332120151005020622.01-107-23957-51-107-22899-91-283-52200-497866138344541-139-52713-41-139-52832-71-139-52593-X1-139-53179-41-139-53060-70-511-99771-X(CKB)2560000000090097(EBL)977169(OCoLC)804845628(SSID)ssj0000738960(PQKBManifestationID)11458052(PQKBTitleCode)TC0000738960(PQKBWorkID)10671130(PQKB)10745162(UkCbUP)CR9780511997716(MiAaPQ)EBC977169(Au-PeEL)EBL977169(CaPaEBR)ebr10583243(CaONFJC)MIL383445(EXLCZ)99256000000009009720110111d2012|||| uy| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierQuantum models of cognition and decision /Jerome R. Busemeyer, Peter D. Bruza[electronic resource]Cambridge :Cambridge University Press,2012.1 online resource (xiv, 407 pages) digital, PDF file(s)Title from publisher's bibliographic system (viewed on 05 Oct 2015).1-107-41988-3 1-107-01199-X Includes bibliographical references and index.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?.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 non-reductionist ways. 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.Quantum Models of Cognition & DecisionDecision makingMathematical modelsStatistical decisionCognitionMathematical modelsQuantum theoryDecision makingMathematical models.Statistical decision.CognitionMathematical models.Quantum theory.530.12Busemeyer Jerome R.1047671Bruza Peter David1962-UkCbUPUkCbUPBOOK9910465429803321Quantum models of cognition and decision2475391UNINA