© 2017

The Palgrave Handbook of Quantum Models in Social Science

Applications and Grand Challenges

  • Emmanuel Haven
  • Andrei Khrennikov

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Emmanuel Haven, Andrei Khrennikov
    Pages 1-17
  3. Raymond J. Hawkins, B. Roy Frieden
    Pages 19-38
  4. Edward W. Piotrowski, Jan Sładkowski
    Pages 39-57
  5. Masanori Ohya, Yoshiharu Tanaka
    Pages 95-120
  6. Charles E. Smith Jr., Christopher Zorn
    Pages 121-139
  7. Polina Khrennikova, Emmanuel Haven
    Pages 141-155
  8. J. Acacio de Barros, Gary Oas
    Pages 195-228
  9. Jennifer S. Trueblood, Percy K. Mistry
    Pages 251-266
  10. Lee C. White, Emmanuel M. Pothos, Jerome R. Busemeyer
    Pages 267-291
  11. Big Challenges Section

    1. Front Matter
      Pages 319-319
    2. Andrei Khrennikov
      Pages 321-334
  12. Back Matter
    Pages 359-365

About this book


It is not intuitive to accept that there exists a link between quantum physical systems and cognitive systems. However, recent research has shown that cognitive systems and collective (social) systems, including biology, exhibit uncertainty which can be successfully modelled with quantum probability. The use of such probability allows for the modelling of situations which typically violate the laws of classical probability.

The Palgrave Handbook of Quantum Models in Social Science is a unique volume that brings together contributions from leading experts on key topics in this new and emerging field. Completely self-contained, it begins with an introductory section which gathers all the fundamental notions required to be able to understand later chapters. The handbook then moves on to address some of the latest research and applications for quantum methods in social science disciplines, including economics, politics and psychology. It begins with the issue of how the quantum mechanical framework can be applied to economics. Chapters devoted to this topic range from how Fisher information can be argued to play a role in economics, to the foundations and application of quantum game theory. The handbook then progresses in considering how belief states can be updated with the theory of quantum measurements (and also with more general methods). The practical use of the Hilbert space (and Fock space) in decision theory is then introduced, and open quantum systems are also considered. The handbook also treats a model of neural oscillators that reproduces some of the features of quantum cognition. Other contributions delve into causal reasoning using quantum Bayes nets and the role of quantum probability in modelling so called affective evaluation. The handbook is rounded off with two chapters which discuss the grand challenges which lie ahead of us. How can the quantum formalism be justified in social science and is the traditional quantum formalism too restrictive? Finally, a question is posed: whether there is a necessary role for quantum mathematical models to go beyond physics.

This book will bring the latest and most cutting edge research on quantum theory to social science disciplines. Students and researchers across the discipline, as well as those in the fields of physics and mathematics will welcome this important addition to the literature. 


quantum mechanics cognitive psychology classical mechanics commutativity mathermatics in social sciences quantum physics quantum probability theory computation probability models decision theory economics evaluation foundation game theory Mathematica mathematics mechanics methods modeling nature politics probability probability theory science

Editors and affiliations

  • Emmanuel Haven
    • 1
  • Andrei Khrennikov
    • 2
  1. 1.School of ManagementUniversity of Leicester School of ManagementLeicesterUnited Kingdom
  2. 2.Vaexjoe-KalmarSweden

About the editors

Emmanuel Haven is a Professor at the School of Management at the University of Leicester, UK, and Secretary of the Institute for Quantum Social and Cognitive Science (IQSCS) at the University of Leicester. Emmanuel has (co)- authored papers in a variety of journals including the Journal of Economic Dynamics and Control; Journal of Mathematical Psychology; European Journal of Operational Research; Journal of Mathematical Analysis and Applications; Foundations of Physics; Physica Scripta and New Scientist. He is co-author of Quantum Social Science with Andrei Khrennikov (Cambridge University Press).

Andrei Khrennikov is a Professor of Applied Mathematics at Linnaeus University, Sweden, and Director of the International Center for Mathematical Modelling in Physics, Engineering, Economics and Cognitive Science. His main research interests are in the areas of quantum probability, mathematical models in quantum foundations and quantum information. He has published widely in the areas of quantum mechanics, and has (co)-authored over 300 papers in journals such as the Journal of Number Theory; Foundations of Physics; Theoretical and Mathematical Physics; Journal of Mathematical Psychology; Journal of Mathematical Economics; Journal of Theoretical Biology  and New Scientist. He also published several monographs in the foundations of quantum theory and its applications to decision making, psychology, and economics and biology.


Bibliographic information

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“The book presents a collection of mostly independent articles on various topics under a generic umbrella of quantum models for social sciences. … The whole monograph is incredibly interesting and innovative, with each chapter containing extensive bibliography covering in total many hundreds of sources. The book presents a collection of modern methods of quantum physics, which can be very useful and inspiring for students and researchers in various fields.” (Stan Lipovetsky, Technometrics, Vol. 59 (4), November, 2017)