Supercomputer Technologies in Social Sciences:
Agent-Oriented Demographic Models

V. L. Makarov^a, A. R. Bakhtizin^a, E. D. Sushko^a, V. A. Vasenin^b, V. A. Borisov^b, and V. A.
Roganov^b*

^a Central Economics and Mathematics Institute, Russian Academy of Sciences, Moscow, Russia

^b Moscow State University, Moscow, Russia

e-mail: makarov@cemi.rssi.ru, albert.bakhtizin@gmail.com, sushko_e@mail.ru,
vasenin@msu.ru, wazzy.msu.@gmail.com, radug-a@ya.ru

Received August 4, 2015

Abstract—This article is a continuation of the work published in the journal Vestnik RAN (no. 3, 2016). The
previous article described the international experience in preparing and using agent-oriented models and tech-
nical groundwork for their implementation on supercomputers. This article describes two multiagent demo-
graphic models built at the RAS Central Economics and Mathematics Institute. The models differ in the level
of detailization when simulating human reproductive behavior. The stages and methods of the efficient reflec-
tion of the computing core of a multiagent system on the architecture of a state-of-the-art supercomputer using
the supercomputer technology for agent-oriented simulation (STARS) developed by the authors are analyzed.

Keywords: agent-oriented models, supercomputer technologies, parallel computing, demographic models.

DOI: 10.1134/S1019331616030047

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