Supercomputer technologies in social sciences: Agent-oriented demographic models
- Authors: Makarov V.L.1, Bakhtizin A.R.1, Sushko E.D.1, Vasenin V.A.2, Borisov V.A.2, Roganov V.A.2
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Affiliations:
- Central Economics and Mathematics Institute
- Moscow State University
- Issue: Vol 86, No 3 (2016)
- Pages: 248-257
- Section: From the Researcher’s Notebook
- URL: https://journals.rcsi.science/1019-3316/article/view/178743
- DOI: https://doi.org/10.1134/S1019331616030047
- ID: 178743
Cite item
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 technical groundwork for their implementation on supercomputers. This article describes two multiagent demographic 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 reflection 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.
About the authors
V. L. Makarov
Central Economics and Mathematics Institute
Author for correspondence.
Email: makarov@cemi.rssi.ru
Russian Federation, Moscow
A. R. Bakhtizin
Central Economics and Mathematics Institute
Email: makarov@cemi.rssi.ru
Russian Federation, Moscow
E. D. Sushko
Central Economics and Mathematics Institute
Email: makarov@cemi.rssi.ru
Russian Federation, Moscow
V. A. Vasenin
Moscow State University
Email: makarov@cemi.rssi.ru
Russian Federation, Moscow
V. A. Borisov
Moscow State University
Email: makarov@cemi.rssi.ru
Russian Federation, Moscow
V. A. Roganov
Moscow State University
Email: makarov@cemi.rssi.ru
Russian Federation, Moscow