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Concept of information laser: from quantum theory to behavioural dynamics

  • Andrei KhrennikovEmail author
  • Zeno Toffano
  • François Dubois
Open Access
Review
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Part of the following topical collections:
  1. Non-equilibrium Dynamics: Quantum Systems and Foundations of Quantum Mechanics

Abstract

Recently, the methods of quantum theory, especially quantum information, started to be widely applied outside of physics: in cognitive, social sciences, economics, finance, decision making and biology. We propose a quantum-like model: the “information laser”. The basic assumption is the discrete structure of state spaces related to the quantization of information. The information field acts in the form of indistinguishable quanta of “social energy” analogue to photons. The massive flow of information acts as a laser pump. In this framework, an information selection process by agents under constant pressure of massive repeated information leads to collective “resonance” effects in analogy with laser cavity and stimulated emission. In order to make operational parallels between physical lasers and the information laser we identify the essential features of laser operation. An application to the analysis of recent disruptive social events (colour revolutions) is discussed. Social analogues to the laser are also considered through the model of Echo Chambers induced by the Internet and Adam Smith’s invisible hand.

References

  1. 1.
    A. Khrennikov, Philos. Trans. R. Soc. 374, 20150094 (2016) ADSCrossRefGoogle Scholar
  2. 2.
    A. Khrennikov, Entropy 17, 6969 (2015) ADSMathSciNetCrossRefGoogle Scholar
  3. 3.
    F. Dubois, Res-Systemica 5, 55 (2006) Google Scholar
  4. 4.
    F. Dubois, Z. Toffano, Eigenlogic: a quantum view for multiple-valued and fuzzy systems, in Quantum interaction, QI 2016, LNCS (Springer, Berlin, 2017), Vol. 10106, pp. 239–251 Google Scholar
  5. 5.
    H. Haken, Synergetics (Springer, Berlin, 1977) Google Scholar
  6. 6.
    M. Lax, W. Cai, M. Xu, et al., Random processes in physics and finance (Oxford University Press, Oxford, 2006) Google Scholar
  7. 7.
    A. Khrennikov, Information dynamics in cognitive, psychological, social, and anomalous phenomena, in Fundamental Theories of Physics (Kluwer, Dordrecht, 2004) Google Scholar
  8. 8.
    A. Khrennikov, Ubiquitous quantum structure (Springer, Berlin, 2010) Google Scholar
  9. 9.
    J. Busemeyer, P. Bruza, Quantum models of cognition and decision (Cambridge University Press, Cambridge, 2012) Google Scholar
  10. 10.
    E. Haven, A. Khrennikov, Quantum social science (Cambridge University Press, Cambridge, 2013) Google Scholar
  11. 11.
    M. Asano, A. Khrennikov, M. Ohya, Y. Tanaka, I. Yamato, Quantum adaptivity in biology: from genetics to cognition (Springer, Berlin, 2015) Google Scholar
  12. 12.
    E. Haven, A. Khrennikov (Eds.), The Palgrave handbook of quantum models in social science: applications and grand challenges (Palgrave Macmillan, Basingstoke, UK, 2017) Google Scholar
  13. 13.
    E. Haven, A. Khrennikov, T.R. Robinson, Quantum methods in social science: a first course (WSP, Singapore, 2017) Google Scholar
  14. 14.
    A. Khrennikov, Found. Phys. 29, 1065 (1999) MathSciNetCrossRefGoogle Scholar
  15. 15.
    A. Khrennikov, Biosystems 70, 211 (2003) CrossRefGoogle Scholar
  16. 16.
    A. Khrennikov, Open Syst. Inform. Dyn. 11, 267 (2004) CrossRefGoogle Scholar
  17. 17.
    M.E. Pothos, J.R. Busemeyer, Proc. R. Soc. B 276, 2171 (2009) CrossRefGoogle Scholar
  18. 18.
    A. Brandenburger, Game Econ. Behav. 69, 175 (2010) MathSciNetCrossRefGoogle Scholar
  19. 19.
    E.M. Pothos, J.R. Busemeyer, Behav. Brain Sci. 36, 255 (2013) CrossRefGoogle Scholar
  20. 20.
    A. Khrennikov, I. Basieva, E.N. Dzhafarov, J.R. Busemeyer, PLoS One 9, e110909 (2014) ADSCrossRefGoogle Scholar
  21. 21.
    T. Boyer-Kassem, S. Duchene, E. Guerci, Theory Decis. 10, 1 (2015) Google Scholar
  22. 22.
    M. Asano, I. Basieva, A. Khrennikov, M. Ohya, Y. Tanaka, J. Math. Psychol. 78, 2 (2017) CrossRefGoogle Scholar
  23. 23.
    T. Takahashi, S.-J. Kim, M. Narusec, Prog. Biophys. Mol. Biol. 130, 103 (2017) CrossRefGoogle Scholar
  24. 24.
    R. Penrose, The Emperor’s new mind (Oxford University Press, New York, 1989) Google Scholar
  25. 25.
    S. Hameroff, J. Conscious. Stud. 1, 91 (1994) Google Scholar
  26. 26.
    C. Brukner, A. Zeilinger, Phys. Rev. Lett. 83, 3354 (1999) ADSMathSciNetCrossRefGoogle Scholar
  27. 27.
    G.-M. D’Ariano, AIP Conf. Proc. 889, 79 (2007) ADSCrossRefGoogle Scholar
  28. 28.
    A. Plotnitsky, Proc. Conf. Quantum Theory 2, 309 (2002) Google Scholar
  29. 29.
    C.A. Fuchs, R. Schack, Found. Phys. 41, 345 (2011) ADSMathSciNetCrossRefGoogle Scholar
  30. 30.
    J. von Neumann, O. Morgenstern, Theory of games and economic behaviour (Princeton University Press, Princeton, NJ, 1944) Google Scholar
  31. 31.
    A. Tversky, D. Kahneman, Science 185, 1124 (1974) ADSCrossRefGoogle Scholar
  32. 32.
    D. Tversky, D. Kahneman, J. Risk Uncertain. 5, 297 (1992) CrossRefGoogle Scholar
  33. 33.
    H. Haken, Light: vol. II: laser light dynamics (North-Holland Physics Publishing, Amsterdamn, 1985) Google Scholar
  34. 34.
    M. Fox, Quantum optics: an introduction (Oxford University Press, Oxford, 2006) Google Scholar
  35. 35.
    R. Hanbury Brown, R.Q. Twiss, Nature 177, 27 (1956) ADSCrossRefGoogle Scholar
  36. 36.
    C.K. Hong, Z.Y. Ou, L. Mandel, Phys. Rev. Lett. 59, 2044 (1987) ADSCrossRefGoogle Scholar
  37. 37.
    H.M. Wiseman, Phys Scripta 91, 033001 Google Scholar
  38. 38.
    W. Elsäβer, arXiv:1607.03647
  39. 39.
    Z. Toffano, IEEE J. Sel. Top. Quantum Electron. 3, 485 (1997) ADSCrossRefGoogle Scholar
  40. 40.
    A.L. Schawlow, C.H. Townes, Phys. Rev. 112, 1940 (1958) ADSCrossRefGoogle Scholar
  41. 41.
    A. Orszag, in Les Lasers, principes, réalisations, applications (Masson et Cie, Paris, 1968), Chap. V Google Scholar
  42. 42.
    F. Bagarello, E. Haven, Phys. Scr. 90, 015203 (2015) ADSCrossRefGoogle Scholar
  43. 43.
    P. Khrennikova, J. Math. Psychol., 78, 76 (2017) MathSciNetCrossRefGoogle Scholar
  44. 44.
    P. Barberá, J.T. Jost, J. Nagler, J.A. Tucker, R. Bonneau, Psychol. Sci. 26, 1531 (2015) CrossRefGoogle Scholar
  45. 45.
    A. Smith, An inquiry into the nature and causes of the Wealth of Nations( 1776), (reprinted) (University of Chicago Press, Chicago, 1977) Google Scholar
  46. 46.
    B. Falkenburg, Poznan Stud. Philos. Sci. Humanit 96, 207 (2008) Google Scholar
  47. 47.
    C.Z. Ning, IEEE J. Sel. Top. Quantum Electron. 19, 6516933 (2013) CrossRefGoogle Scholar
  48. 48.
    T. Erneux, P. Glorieux, Laser dynamics (Cambridge University Press, Cambridge, 2010) Google Scholar
  49. 49.
    S. Grauwin, E. Bertin, R. Lemoy, P. Jensen, Proc. Natl. Am. Sci. USA 106, 20622 (2009) ADSCrossRefGoogle Scholar
  50. 50.
    C. Jaeger, G. Horn, T. Lux, D. Fricke, S. Frurst, W. Lass, L. Lin, A. Mandel, F. Meissner, S. Schreiber, D. Vesper, R. Zwiener, From the financial crisis to sustainability, Potsdam, European Climate Forum, 2009. www.european-climate-forum.net/index.php?id=ecfreports
  51. 51.
    R. Collins, Interaction ritual chains (Princeton University Press, Princeton, 2004) Google Scholar

Copyright information

© The Author(s) 2019

Open Access This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  • Andrei Khrennikov
    • 1
    • 2
    Email author
  • Zeno Toffano
    • 3
  • François Dubois
    • 4
  1. 1.National Research University for Information Technology, Mechanics and Optics (ITMO), Laboratory of Quantum Cognition and Intelligent SystemsSt. PetersburgRussia
  2. 2.International Center for Mathematical Modeling in Physics and Cognitive Sciences Linnaeus UniversityVäxjöSweden
  3. 3.Laboratoire des Signaux et Systèmes, L2S (UMR8506 – CNRS), CentraleSupélec, U. Paris-SaclayGif-sur-YvetteFrance
  4. 4.CNAM-Paris, Department of Mathematics, University Paris-SudOrsayFrance

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