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Alina Ageeva 
Affiliation: Central Economics and Mathematics Institute of the Russian Academy of Sciences
Elena Sushko
Affiliation: Central Economics and Mathematics Institute of the Russian Academy of Sciences
Albert Bakhtizin
Affiliation: Central Economics and Mathematics Institute of the Russian Academy of Sciences
Valery Makarov
Affiliation: Central Economics and Mathematics Institute of the Russian Academy of Sciences

The paper describes the use of agent-based approach to population movement modeling. It provides an overview of the most characteristic demographic agent-based model (ABM), developed in the past decade. The EU demographic model for simulating mortality, fertility and migration processes based on the behavior of individual agents in the artificial society is produced. Thus, the creation of new agents (birth of the children) in the model is a result of the individual choice of female agents of reproductive age, and this choice depends on their values and culture. The population of agents in this regard is not uniform – some agents follow the modern reproductive strategies (low fertility rates), and some – the traditional (high fertility rates). The migration of agents is based on the difference in the level of income in different countries. The results of experiments carried out using the model are analyzed and provided.

agent-based modelling, demography, types of population reproduction, migration, forecasting the population size and structure in the region
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Billari F.C., Prskawetz A. (eds.) (2003). Agent-Based Computational Demography: Using Simulation to Improve Our Understanding of Demographic Behaviour. Heidelberg: Springer – Verlag.

Billari F.C., Prskawetz A., Diaz B.A., Fent T. (2007). The “Wedding-Ring”: An Agent-Based Marriage Model Based on Social Interaction. Demographic Research 17, 59–82.

Diaz B.A. (2010). Agent-Based Models on Social Interaction and Demographic Behaviour (Ph.D. Thesis). Wien: Technische Universität.

Espíndola A.L., Silveira J.J., Penna T.J.P. (2006). A Harris-Todaro Agent-Based Model to Rural-Urban Migration. Brazilian Journal of Physics 36, 3A, 603–609.

Groen D. (2016). Simulating Refugee Movements: Where would you go? Procedia Computer Science 80, 2251–2255. Available at: (accessed: August 2016).

Harris J.R., Todaro M.P. (1970). Migration, Unemployment and Development: A Two-Sector Analysis. American Economic Review 60, 126–142.

Heiland F. (2003). The Collapse of the Berlin Wall: Simulating State-Level East to West German Migration Patterns. In: F.C. Billari, A. Prskawetz (eds.)“Agent-Based Computational Demography”. Heidelberg: Springer, 73–96.

Janmaat J., Lapp S., Wannop T., Bharati L., Sugden F. (2015). Demonstrating Complexity with a Role-playing Simulation: Investing in Water in the Indrawati Subbasin, Nepal. International Water Management Institute, Sri Lanka. Research Report 163. Available at: PDF/pub163/rr163.pdf (accessed: August 2016).

Klabunde A. (2014). Computational Economic Modeling of Migration. Ruhr Economic Papers #471. Ruhr Universität Bochum, Germany. Available at: (accessed: August 2016).

Klabunde A., Zinn S., Leuchter M., Willekens F. (2015). An Agent-Based Decision Model Embedded in the Life Course. Max Planck Institute for Demographic Research. Working Paper (WP 2015-002). Available at: http:// (accessed: August 2016).

Laing D., Park C., Wang P. (2005). A Modified Harris-Todaro Model of Rural-Urban Migration for China. Available at: (accessed: August 2016).

Makarov V.L., Bakhtizin A.R. (2013). Social simulation is a new computer breakthrough. Agent-based models. Moscow: Ekonomika Publ. (in Russian).

Makarov V.L., Bakhtizin A.R., Sushko E.D. (2015). Simulating the Reproductive Behavior of a Region’s Population with an Agent-Based Model. Economy of Region 3, 312–322 (in Russian).

Makarov V.L., Bakhtizin A.R., Sushko E.D., Vasenin V.A., Borisov V.A., Roganov V.A. (2016). Supercomputer Technologies in Social Sciences: Agent-Oriented Demographic Models. Herald of the Russian Academy of Sciences 5, 412–421 (in Russian).

Naivinit W., Le Page C., Trébuil G., Gajaseni N. (2010). Participatory Agent-Based Modeling and Simulation of Rice Production and Labor Migrations in Northeast Thailand. Environmental Modelling & Software 25(11), 1345–1358. DOI: 10.1016/j.envsoft.2010.01.012.

Pablo-Marti F., Santos J.S., Kaszowska J. (2015). An Agent-Based Model of Population Dynamics for the European Regions. Emergence: Complexity and Organization. Available at: article/an-agent-based-model-of-population-dynamics-for-the-european-regions/ (accessed: August 2016).

Silverman E., Bijak J., Hilton J., Cao V.D., Noble J. (2013). When Demography Met Social Simulation: A Tale of Two Modelling Approaches. Journal of Artificial Societies and Social Simulation (JASSS) 16(4). Available at: http:// (accessed: August 2016).

Silverman E., Bijak J., Noble J., Cao V., Hilton J. (2014). Semi-Artificial Models of Populations: Connecting Demography with Agent-Based Modelling. In: Chen S. – H. et al. (eds.)“Advances in Computational Social Science: The Fourth World Congress, Agent-Based Social Systems 11”, 177–189. Springer Japan. DOI: 10.1007/978-4-431-54847-8-12.

Sokolowski J.A., Banks C.M., Hayes R.L. (2014). Modeling Population Displacement in the Syrian City of Aleppo. Proceedings of the 2014 Winter Simulation Conference. IEEE, 252–263. Available at: http://www.informs-sim. org/wsc14papers/includes/files/023.pdf (accessed: August 2016).

Stillwell J., Clarke M. (2011) (Eds.). Population Dynamics and Projection Methods, Understanding Population Trends and Processes. Springer Science, Business Media B.V., 4. DOI: 10.1007/978-90-481-8930-4.

Tarasov V.B. (2002). From Multiagent Systems to Intelligent Organizations: Philosophy, Psychology, Computer Science. Moscow: Editorial URSS Publ. (in Russian).

Tiebout C. (1956). A Pure Theory of Local Expenditures. The Journal of Political Economy 64, 5, 416–424.

Vishnevskiy A.G. (1982). Society and Population Reproduction. History, Present Days, Look into Future. Moscow: Finansy i statistika Publ. (in Russian).

Wu B.M., Birkin M.H. (2012). Agent-Based Extensions to a Spatial Microsimulation Model of Demographic Change. In: A.J. Heppenstall et al. (eds.)“Agent-Based Models of Geographical Systems”, 347–360. DOI: 10.1007/978-90-481-8927-4-16.