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Overview of methods for modeling complex socio-economic systems based on an agent approach

A.A. Aigumov, I.A. Pshenokova

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Abstract. Socio-economic processes and phenomena are complex systems. In this regard, the rational and optimal management of them sets a number of serious tasks. Therefore, the study of theories, methods and techniques of effective modeling and dynamics of socio-economic systems is a very promising area of ​​research. Currently, there are no universal methods and means for modeling socio-economic systems. Well-known methods for modeling socio-economic systems cover various approaches, including system dynamics, Bayesov networks, agent models, dynamic stochastic balance models, etc. This work gives an overview of the latest achievements in the field of agent modeling of complex socio-economic systems.

Keywords: socio-economic systems, agent modeling, multiagen systems, complex systems

For citation. Aigumov A.A., Pshenokova I.A. Overview of methods for modeling complex socio-economic systems based on an agent approach. News of the Kabardino-Balkarian Scientific Center of RAS.2024. Vol. 26. No. 5. Pp. 64–72. DOI: 10.35330/1991-6639-2024-26-5-64-72

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Information about the authors

Arslan A. Aigumov, Post-graduate Student of the Department of Мulti-Аgent Intellectual Robotics Systems, Scientific and Educational Center Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360010, Russia, Nalchik, 2 Balkarov street;
arrrslan@mail.ru
Inna A. Pshenokova, Candidate of Physical and Mathematical Sciences, Head of the Laboratory “Intelligent Living Environments”, Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 37-a I. Armand street;
pshenokova_inna@mail.ru, ORCID: https://orcid.org/0000-0003-3394-7682, SPIN-код: 3535-2963

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