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Quantum-Sapiens: The Quantum Bases for Human Expertise, Knowledge, and Problem-Solving

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  • Steve J. Bickley
  • Ho Fai Chan
  • Sascha L. Schmidt
  • Benno Torgler

Abstract

In this contribution, we highlight the potential for quantum theories to reignite the art and science of expert systems and knowledge engineering. With their fundamental grounding in uncertainty and unpredictability, quantum concepts are able to expand theoretical and practical boundaries of research and exploration. We demonstrate the similarities between quantum concepts and expert systems, outlining five domains (Scientific Discovery, Creativity and Breakthrough Thinking; Complex Systems; Medical Sciences and Advice; Strategic Business Management; and Future of Sports) we regard as largely unexplored in popular accounts of quantum theory; as such, these are low hanging fruit for the application of quantum technologies.

Suggested Citation

  • Steve J. Bickley & Ho Fai Chan & Sascha L. Schmidt & Benno Torgler, 2020. "Quantum-Sapiens: The Quantum Bases for Human Expertise, Knowledge, and Problem-Solving," CREMA Working Paper Series 2020-18, Center for Research in Economics, Management and the Arts (CREMA).
    • Handle: RePEc:cra:wpaper:2020-18
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    References listed on IDEAS

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    4. Sterman, John., 1994. "Learning in and about complex systems," Working papers 3660-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
    6. H. J. Kimble, 2008. "The quantum internet," Nature, Nature, vol. 453(7198), pages 1023-1030, June.
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    Cited by:

    1. Benno Torgler, 2021. "Behavioral Taxation: Opportunities and Challenges," CREMA Working Paper Series 2021-25, Center for Research in Economics, Management and the Arts (CREMA).
    2. Steve J. Bickley & Ho Fai Chan & Benno Torgler, 2022. "Artificial intelligence in the field of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2055-2084, April.
    3. Steve J. Bickley & Benno Torgler, 2021. "Cognitive Architectures for Artificial Intelligence Ethics," CREMA Working Paper Series 2021-27, Center for Research in Economics, Management and the Arts (CREMA).
    4. Steve J. Bickley & Benno Torgler, 2021. "Behavioural Economics, What Have we Missed? Exploring “Classical” Behavioural Economics Roots in AI, Cognitive Psychology, and Complexity Theory," CREMA Working Paper Series 2021-21, Center for Research in Economics, Management and the Arts (CREMA).
    5. Steve J. Bickley & Alison Macintyre & Benno Torgler, 2021. "Artificial Intelligence and Big Data in Sustainable Entrepreneurship," CREMA Working Paper Series 2021-11, Center for Research in Economics, Management and the Arts (CREMA).

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