Quantum Cognition and Decision Notes

Life is complex, it has both real and imaginary parts. (Anonymous)

Tutorial power points are based on material presented at Cognitive Science 2007 – 2016.

Research is based upon work supported by NSF SES-1560554 and AFOSR FA9550-15-1-0343

                                                        Stanislaw Ulam,  Richard Feynman, John Von Neumann

Content

Introduction Chapters

Published Papers

Collaborators

References

Links

Pictures

Meeting

Computer Programs

WHAT IS QUANTUM COGNITION,

AND HOW CAN IT BE USED TO MODEL BEHAVIOR IN COGNITIVE SCIENCE?

Cognitive scientists face some of the same types of problems that forced physicists to abandon classical dynamics. Their measurements are often incompatible, and the first measurement may disturb a second measurement. Thus only partial information about a complex system can be obtained at any point in time.  Combining partial information about a system into a coherent understanding of the entire system is the hallmark of quantum theory. Quantum theory provides a fundamentally different approach to logic, reasoning, and probabilistic inference. For example, quantum logic does not always follow the distributive axiom of Boolean logic; quantum probabilities do not always obey the Kolmogorov law of total probability; quantum reasoning does not always obey the principle of monotonic reasoning.  The tutorial papers listed below present the basic assumptions of classic versus quantum information processing theories. These basic assumptions are examined, side by side, in a parallel and elementary manner. Classic theory emerges as a possibly overly restrictive case of the more general quantum theory. The fundamental implications of these contrasting assumptions for modeling cognition are examined.

Book:

Busemeyer, J. R. & Bruza, P. D. (2012) Quantum Models of Cognition and Decision. Cambridge University Press

Introductory Chapters and Articles:

Yearsley, J. , & Busemeyer, J. R. (2016) Quantum Cognition and Decision Theories: A Tutorial

Journal of Mathematical Psychology, 74, 99-116.

Bruza, P. D., Wang, Z., & Busemeyer, J. R. (2015) Quantum cognition: A new theoretical approach to psychology. Trends in Cognitive Science, 19 (7), 383-393

Pothos, E. M., & Busemeyer, J. R. (2013). Can quantum probability provide a new direction for cognitive modeling?  Behavioral and Brain Sciences, 36, 255-274. (Target Article).

Busemeyer, J. R. (2012). Introduction to quantum probability for social and behavioral scientists. In Rudolph, L. (Ed.), Qualitative mathematics for the social sciences: Mathematical models for research on cultural dynamics. New York, NY: Routledge. (pp.  

Busemeyer, J. R., Kvam, P. D., & Pleskac, T. J. (2020) Comparison of Markov versus quantum dynamical

models of human decision making. Wiley Interdisciplinary Reviews: Cognitive Science.

Pothos,E.M., Busemeyer, J. R. (2022) Quantum Cognition. Annual Review of Psychology, 73, 749-778

Power Points :

From Prior Cognitive Science workshops

 Introduction to Tutorial

Quantum Probability Power Point

Quantum Dynamics Power Point

Quantum Compositionality

From Mathematical Psychology workshop

Computational tools for Quantum Modeling of Cognition

Articles published in Busemeyer Lab:

Pothos, E. M., & Busemeyer, J. R. (2009). A quantum probability model explanation for violations of rational decision theory. Proceedings of the Royal Society, B, 276 (1665), 2171-2178)

Busemeyer, J. R., Pothos, E., Franco, R., & Trueblood, J. S. (2011). A quantum theoretical explanation for probability judgment errors.  Psychological Review, 118, 193-218.  

Trueblood, J. S., & Busemeyer, J. R. (2011). A quantum probability account for order effects on inference. Cognitive Science, 35, 1518-1552 

Pothos, E. M., Busemeyer, J. R., & Trueblood, J. S. (2013). A quantum geometric model of similarity. Psychological Review, 120 (3), 679-696

Busemeyer, J. R., Wang, Z., & Shiffrin, R. S. (2015). Bayesian model comparison favors quantum over standard decision theory account of dynamic inconsistency. Decision, 2, 1-12.

Kvam, P. D., Pleskac, T. J., Yu, S., & Busemeyer, J. R. (2015) Interference Effects of Choice on Confidence. Proceedings of the National Academy of Science.

Pothos, E. M., Yearsley, J., Shiffrin, R. M. & Busemeyer, J. R. (2017). The rational status of quantum cognition. Journal of Experimental Psychology, 146(7), pp. 968-987. doi: 10.1037/xge0000312

Busemeyer, J. R. & Wang, Z. (2018) Hilbert space multidimensional theory.

         Psychological Review. 125 (4), 572-591

Busemeyer, J. R., Kvam, P. D., & Pleskac, T. J. (2019) Markov versus quantum dynamic models of belief change 

           during evidence monitoring. Scientific Reports, 9, 18025

Broekaert, J. B., Busemeyer, J. R., and Pothos, E. M. (2020) The Disjunction Effect in two-stage

            simulated gambles. An experimental study and comparison of a heuristic logistic, Markov and

            quantum-like model.  Cognitive Psychology. 117,  

Kvam, P, Busemeyer, J. R., & Pleskac, T. (2021) Temporal oscillations in preference strength provide evidence

             for an open system model of constructed preference. Scientific Reports, 11, 8169

Rajagopal, K., Zhang, Q., Balakrishnan, S. N., Fakhari, P., & Busemeyer, J. R. (2021). Quantum amplitude amplification for reinforcement learning. In K. G. Vamvoudakis (Ed) Handbook on Reinforcement Learning and Control.  Springer Studies in Systems, Decision and Control

For Other Publications in Quantum Cognition, see these links

Diederick Aerts

Harald Atmanspacher

Reinhard Blutner

Peter Bruza

Andrei Khrennikov

Lian Gabora

Catarina Moriera

Tim Pleskac

Emmanuel Pothos

Jennifer Trueblood

Andreas Wichert

James Yearsley

V. I. Yukalov

Computer Code for HSM Model

Hilbert Space Model Programs

References:

Busemeyer, J. R. & Bruza, P. D. (2012) Quantum models of cognition and decision. Cambridge.

Feynman, R. P., Leighton, R. B., & Sands, M. (1966) The Feynman Lectures on

 Physics: Volume III.  Reading MA: Addison Wesley.

Griffiths, R. B. (2003) Consistent quantum Theory. Cambridge.

Gudder, S. (1998) Quantum probability theory. Academic Press.

Hughes, R. I. G. (1989) The structure and interpretation of Quantum mechanics.

      Cambridge, MA: Harvard University Press.

Khrennikov, A. (2010) Ubiquitous quantum structure. Springer

Nielsen, M. A. & Chuang, I. L. (2000) Quantum computation and Quantum

      information. Cambridge, UK: Cambridge University Press.

Sakurai, J. J. (1994) Modern quantum mechanics. Pearson Education Inc.

Peres, A. (1995) Quantum theory: Concepts and methods. (Fundamental theories of

physics, Vol. 72).  DordRecht: Kluwer.

Susskind, L. and Friedman, A. (2015) Quantum mechanics: The theoretical minimum.  Basic Books

Isham, C. J. (1989) Lectures on quantum theory. World Scientific.

Links

Physics

http://plato.stanford.edu/entries/qt-consciousness/

http://arxiv.org/list/quant-ph/new

http://www.cs.caltech.edu/~westside/quantum-intro.html

http://wwwcdf.pd.infn.it/~loreti/science.html

https://www.youtube.com/playlist?list=PLQrxduI9Pds1fm91Dmn8x1lo-O_kpZGk8

Cognition and Decision

Quantum Decision Theory:

 http://www.le.ac.uk/ulsm/research/qdt/index.html.

Quantum cognition

http://www.quantum-cognition.de/

Brain and Cognition

http://www.nonlocal.com/hbar/qbrain.html

Hammeroff's web site on consciousness

Pictures

Quantum Workshop Filzbach Switzerland, 2012.  From left to right, Peter beim Graben, Jerome Busemeyer, Sandro Sozzo, Reinhard Blutner, Harald Atmanspacher (Organizer), Emmanuel Pothos.

Meetings

See Quantum Interaction web site

 http://www.quantuminteraction.org/