Abstract
Econophysics is an emerging field dealing with complex systems. A deeper analysis of themes studied by econophysicists shows that research conducted in this field can be decomposed into two different computational techniques: statistical econophysics and agent-based econophysics. Both perspectives import the classical idea of randomness coming from statistical physics. This methodological paper calls for the development of a more quantum-oriented econophysics which could complete the approach provided by classical econophysics by enlarging our way of thinking randomness and, therefore, economic uncertainty.
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Notes
- 1.
For further information about the emergence and the institutional dimension of econophysics, see Gingras and Schinckus [1].
- 2.
- 3.
See McCauley [3] for further information about the importance of power law regularities in econophysics.
- 4.
The literature about the agent-based models is huge and published in several disciplines. Agent-based approach appeared in the 1990s as a new tool for empirical research in a lot of fields such as economics [15], voting behaviors [16], military tactics [17], organizational behaviors [18], epidemics [19], traffic congestion patterns [20], etc.
- 5.
For further information about this specific point, see Schinckus [4].
- 6.
Craver [26] explained that these filler terms can play two roles in knowledge: “they can stand as place-holder for future work” or, in contrast, “they can barriers to progress when they veil failures of understanding”.
- 7.
- 8.
The literature dedicated to quantum econophysics is not so large. See Saptsin and Soloviev [29] for a detailed literature review.
- 9.
- 10.
See Khrennikov [35] for information about classical and quantum randomness.
- 11.
Bitbol [42] used the word “transcendental deduction” to characterize reasoning used in the different quantum perspectives.
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Schinckus, C. (2014). A Methodological Call for a Quantum Econophysics. In: Atmanspacher, H., Haven, E., Kitto, K., Raine, D. (eds) Quantum Interaction. QI 2013. Lecture Notes in Computer Science(), vol 8369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54943-4_28
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