Creation of a Supercomputer Simulation of a Society with Different Types of Active Agents and Its Approbation

• Published in: Herald of the Russian Academy of Sciences Vol. 92; no. 3; pp. 268 - 275
• Main Authors: Makarov, V. L., Bakhtizin, A. R., Sushko, E. D., Sushko, G. B.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 2022; Springer Nature B.V
• Subjects: Artificial environments; Chemistry/Food Science; Demographics; Earth and Environmental Science; Earth Sciences; Engineering; Environment; Fertility; From the Researcher’s Notebook; Life Sciences; Reagents; Simulation; Social Sciences; Supercomputers; Russia; supercomputer technologies; digital simulation and modeling of systems; approbation of managerial influences; agent-based modeling; parallel computing; simulation of demographic processes
• ISSN: 1019-3316; 1555-6492; 1555-6492
• DOI: 10.1134/S1019331622030182

This article continues a series of works devoted to the creation of large agent-based models, built as an artificial society, and the development of software for their implementation—the MÖBIUS design system for scalable agent-based models. The basic core of the system is a demographic model that simulates the natural movement of the population. A new stage in the development of the work discussed in this article was the creation on the basis of this core of an agent-based model of Russia, which includes families as agents of a new type, hierarchically connected with human agents. In addition, objects of a new type were introduced into the model—projects that provide for the creation in an artificial environment of analogues of complex control actions aimed at stimulating fertility. Developed on the basis of simulating the reaction of individual families to the introduced regional support measures, the model makes it possible to track their impact on key demographic indicators. The agent-based model of Russia was tested on data for a long retrospective period using the example of the launch of maternal capital programs and showed good agreement with official statistics.