Abstract
In many practical situations, it turns out to be beneficial to use techniques from quantum physics in describing non-quantum complex systems. For example, quantum techniques have been very successful in econometrics and, more generally, in describing phenomena related to human decision making. In this paper, we provide a possible explanation for this empirical success. We also show how to modify quantum formulas to come up with an even more accurate descriptions of the corresponding phenomena.
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Acknowledgments
This work was supported by the Project AI & Reasoning CZ.02.1.01/0.0/0.0/15003/0000466 and the European Regional Development Fund. It was also supported in part by the US National Science Foundation grant HRD-1242122 (Cyber-ShARE Center). This work was performed when M. Svítek was a Visiting Professor at the University of Texas at El Paso.
The authors are thankful to Vladimir Marik and Hung T. Nguyen for their support and valuable discussions.
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Svítek, M., Kosheleva, O., Kreinovich, V., Nguyen, T.N. (2019). Why Quantum (Wave Probability) Models Are a Good Description of Many Non-quantum Complex Systems, and How to Go Beyond Quantum Models. In: Kreinovich, V., Thach, N., Trung, N., Van Thanh, D. (eds) Beyond Traditional Probabilistic Methods in Economics. ECONVN 2019. Studies in Computational Intelligence, vol 809. Springer, Cham. https://doi.org/10.1007/978-3-030-04200-4_13
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DOI: https://doi.org/10.1007/978-3-030-04200-4_13
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