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Conditions for Quantum Interference in Cognitive Sciences

Author

Listed:
  • Vyacheslav I. Yukalov

    (Joint Institute for Nuclear Research; D-MTEC, ETH Zurich)

  • Didier Sornette

    (ETH Zürich - Department of Management, Technology, and Economics (D-MTEC); Swiss Finance Institute)

Abstract

We present a general classification of the conditions under which cognitive science, concerned e.g. with decision making, requires the use of quantum theoretical notions. The analysis is done in the frame of the mathematical approach based on the theory of quantum measurements. We stress that quantum effects in cognition can arise only when decisions are made under uncertainty. Conditions for the appearance of quantum interference in cognitive sciences and the conditions when interference cannot arise are formulated.

Suggested Citation

  • Vyacheslav I. Yukalov & Didier Sornette, 2013. "Conditions for Quantum Interference in Cognitive Sciences," Swiss Finance Institute Research Paper Series 13-29, Swiss Finance Institute.
    • Handle: RePEc:chf:rpseri:rp1329
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    Citations

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    Cited by:

    1. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    2. Ashtiani, Mehrdad & Azgomi, Mohammad Abdollahi, 2015. "A survey of quantum-like approaches to decision making and cognition," Mathematical Social Sciences, Elsevier, vol. 75(C), pages 49-80.
    3. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.

    More about this item

    Keywords

    Decisions under uncertainty; Quantum measurements; Quantum probability; Conditions for interference;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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