Sushko E.D.Central Economics and Mathematics Institute, Russian Academy of Sciences, Moscow, Russian Federation sushko_e@mail.ru
Importance The article discusses specialized software to implement agent-based models in supercomputers, and describes Supercomputer Technology for Agent-oRiented Simulation – STARS. Objectives The research sets up a multi-agent demographic model, which has the interface to demonstrate changes in the main demographic indicators of the region's population. We devise a methodology to effectively reflect the computing core of the multi-agent system in relation to the architecture of modern supercomputer. Methods We apply the internode communication technology through the active messaging technology that allows to significantly increase the productivity of multi-agent models. Results STARS facilitates the implementation of online modeling and online visualization of the simulation process within the estimated time. Currently, it is possible only if there is a monopolistic access to supercomputer. To make large-scale experiments with more complicated agents, a more productive and data intensive supercomputer will be needed. Conclusions and Relevance As the largest IT-market actors (Microsoft, Wolfram, ESRI, etc.) got more interested in AOM, the instrument proves to have good prospects and promising future. Supercomputing technologies and their application turn out to be reasonable and practicable, considering exponential growth in total data volume and the need to build analytical systems for obtaining new generation data required to predict social phenomena.
Epstein J.M., Axtell R.L. Growing Artificial Societies: Social Science from the Bottom Up. Washington, D.C., Brookings Institution Press, MIT Press, 1996.
Epstein J.M. Modelling to Contain Pandemics. Nature, 2009, no. 460.
Ambrosiano N. Avian Flu Modeled on Supercomputer. Los Alamos National Laboratory Newsletter, 2006, vol. 7, no. 8.
Murgatroyd P., Craenen B., Theodoropoulos G., Gaffney V., Haldon J. Modelling Medieval Military Logistics: an Agent-based Simulation of a Byzantine Army on the March. Computational and Mathematical Organization Theory, 2012, vol. 18, iss. 4, pp. 488–506.
Tarasov V.B. Ot mnogoagentnykh sistem k intellektual'nym organizatsiyam: filosofiya, psikhologiya, informatika [From multi-agent systems towards intelligent organizations: philosophy, psychology, informatics]. Moscow, URSS Publ., 2002, 352 p.
Wittek P., Rubio-Campillo X. Scalable Agent-based Modelling with Cloud HPC Resources for Social Simulations. Proc. 4th Int. Conf. on Cloud Computing Technology and Science (CloudCom), December 3–6, 2012. Taipei, IEEE, 2012, pp. 355–362.
Roberts D.J., Simoni D.A., Marathe M., Eubank S., Atkins K., Romero P. et al. A National Scale Microsimulation of Disease Outbreaks. Supercomputing '07 Conference. Reno, NV, 2007.
Billari F.C., Prskawetz A. Agent-Based Computational Demography: Using Simulation to Improve Our Understanding of Demographic Behaviour. Heidelberg, Springer, 2003, 210 p.
Makarov V.L., Bakhtizin A.R., Vasenin V.A., Roganov V.A., Trifonov I.A. Sredstva superkomp'yuternykh sistem dlya raboty s agent-orientirovannymi modelyami [Tools of supercomputing systems to handle agent-based models]. Programmnaya inzheneriya= Software Engineering, 2011, no. 3, pp. 2–14.
Vishnevskii A.G. Vosproizvodstvo naseleniya i obshchestvo: istoriya, sovremennost', vzglyad v budushchee [Population reproduction and the society: history, contemporary time, prospective views]. Moscow, Finansy i statistika Publ., 1982, 287 p.
Bakhmetova G.Sh. Metody demograficheskogo prognozirovaniya: monografiya [Demographic forecasting methods: a monograph]. Moscow, Finansy i statistika Publ., 1982, 159 p.
Roditeli i deti, muzhchiny i zhenshchiny v sem'e i obshchestve [Parents and Children, Men and Women in Family and Society]. Moscow, Independent Institute for Social Policy Publ., 2007, 640 p.
Shubat O.M., Bagirova A.P. Prognozirovanie vtorykh rozhdenii u rossiiskikh zhenshchin: sotsiologo-statisticheskii podkhod [Forecasting second child births of the Russian women: social and statistical considerations]. Problemy prognozirovaniya = Problems of Forecasting, 2014, no. 3, pp. 131–140.