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Interactions Within Complex Economic System

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Complex Networks & Their Applications XII (COMPLEX NETWORKS 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1143))

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Abstract

The emergence of a complex economic system is an interesting issue that has been addressed by many economists. This paper suggests that the processes that develop network formation within economic agents could be assimilated with the same procedures used by neurons in the human brain. Furthermore, the present paper presents a heuristic proof that suggests that the previous assumption is possible since the complex economic system, as a biological one, is a self-organization that has the same properties as any ergodic random dynamical chaotically system. In particular, it has been found that both systems possess a Markov Blanket or a Markov Decision Process, economically speaking. Furthermore, the demonstration in the present paper is restricted to how coupled dynamical systems organize themselves over time. In conclusion, the present work focuses on a simple but key aspect of complex economic system self-organization, providing a behavior metaphor in a different time-scale.

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Notes

  1. 1.

    In particular, this reformulation is used to conceptualize the relationship between evolution, complexity and ecosystem (for more details see [21]). Moreover, this principle offers the possibility of formalizing economic evolution in terms of structural complexity development or, in other words, the available environmental energy transformation into the adverse degradation gradients.

  2. 2.

    With this last assumption, complex systems, such as the biological and economic ones, could be considered a sub-class of dissipate structures, since their formation is statistically favored by the generalization of the second law of thermodynamics. So, this happens because these structures do not enable the dissipation of accessible reservoirs of free energy. Furthermore, they facility, at the same time, the irreversible relaxation of the associated disequilibrium.

  3. 3.

    It is important to stress that this line of thinking is based on the two works of [14] and [15], who tried to link natural selection to a physical principle of maximum energy transformation. Thus, to minimize the created dissipate heat during the extraction work process, the system must develop an efficient and predictive representation of the driving environment dynamics.

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Authors and Affiliations

  1. Institute for Complex Systems (Council of National Research of Italy) UoS La Sapienza University, 00185, Rome, Italy

    Daniela Cialfi

  2. Enrico Fermi Research Center, 00184, Rome, Italy

    Daniela Cialfi

Authors
  1. Daniela Cialfi
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Correspondence to Daniela Cialfi .

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Editors and Affiliations

  1. University of Burgundy, Dijon Cedex, France

    Hocine Cherifi

  2. Thomas J. Watson College of Engineering and Applied Science, Binghamton University, Binghamton, NY, USA

    Luis M. Rocha

  3. IUT Lumière - Université Lyon 2, University of Lyon, Bron, France

    Chantal Cherifi

  4. Department of Economics, Yildiz Technical University, Istanbul, Türkiye

    Murat Donduran

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Cialfi, D. (2024). Interactions Within Complex Economic System. In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M. (eds) Complex Networks & Their Applications XII. COMPLEX NETWORKS 2023. Studies in Computational Intelligence, vol 1143. Springer, Cham. https://doi.org/10.1007/978-3-031-53472-0_35

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  • DOI: https://doi.org/10.1007/978-3-031-53472-0_35

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-53472-0

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