AGENT-BASED MODELING OF SOCIAL-POLITICAL SYSTEMS AND PROCESSES: HISTORY OF DEVELOPMENT AND FUTURES FOR PRACTICAL APPLICATION

UDC 32.019.5, 323.2, 324, 327, 329, 519.682
DOI:10.26102/2310-6018/2019.27.4.005

A.F. Ageeva


The article provides an overview of agent-based models that reproduce the structure of socio-political systems and dynamics of international processes and socio-political phenomena. The effectiveness and futures of the practical application of agent-based modeling in the field of political knowledge are scientifically proved. An analysis of the conceptual and construction features of agent-based models considered in the scientific review demonstrates the advantages of agent-based modeling for realization applied interdisciplinary projects and research tasks based on the synthesis of several disciplines within the framework of public and political knowledge: political sociology and political psychology, history and archeology, international relations and social culturology. The potentialities and advantages of agent-based modeling in the aspect of its applied meaning for hypothetical testing in the framework of political analysis are shown. A brief history of the practical application of agent-based modeling in the field of political knowledge is presented through a retrospective and structural analysis of models created by prominent political scientists, sociologists and economists, and the impact of their work on the further development of the scientific field is shown. Conclusions regarding the futures for the practical application of simulation in the field of political sciences related with the participation of supercomputer technologies to simulate large-scale socio-political systems, as well as international processes and scenarios that occur on a global scale are presented.
The article has been prepared with the support of the Russian Science Foundation (Grant № 19-18-00240)

Keywords: socio-political systems and processes, elections, political analysis, revolutions, international relations, agent-based modeling.

Full text:
Ageeva_4_19_1.pdf