VolRC RAS scientific journal (online edition)
08.05.202405.2024с 01.01.2024
Page views
Visitors
* - daily average in the current month
RuEn

Journal section "Socio-demographic research"

Concept of the Agent-Based Model “Digital Demographic Twin of the Vologda Region”

Kalachikova O.N., Korolenko A.V., Dianov D.S.

Volume 10, Issue 1, 2024

Kalachikova O.N., Korolenko A.V., Dianov D.S. (2024). Concept of the Agent-Based Model “Digital Demographic Twin of the Vologda Region”. Social area, 10 (1). DOI: 10.15838/sa.2024.1.41.1 URL: http://socialarea-journal.ru/article/29909?_lang=en

DOI: 10.15838/sa.2024.1.41.1

Abstract   |   Authors   |   References
  1. Aparicio-Diaz B., Fent T., Prskawetz A., Bernardi L. (2011). Transition to parenthood: The role of social interaction and endogenous networks. Demography, 48(2), 559–579. DOI: 10.1007/s13524-011-0023-6
  2. Billari F.C., Ongaro F., Prskawetz A. (2003). Introduction: Agent-Based computational demography. In: Billari F.C., Prskawetz A. (Eds.). Agent-Based Computational Demography. Contributions to Economics. Physica, Heidelberg. Available at: https://doi.org/10.1007/978-3-7908-2715-6_1
  3. Billari F.C., Prskawetz A., Diaz B.A., Fent Th. (2007). The “Wedding-Ring”: An agent-based marriage model based on social interaction. Demographic Research, 17(3), 59–82.
  4. Doroshenko T.A. (2019). Development of an agent-based model of educational migration in the region. Vestnik Evraziiskoi nauki=The Eurasian Scientific Journal, 5. Available at: https://esj.today/PDF/17ECVN519.pdf (in Russian).
  5. Kniveton D., Smith Ch., Wood S. (2011). Agent-based model simulations of future changes in migration flows for Burkina Faso. Global Environmental Change, 21(1), 34–40. DOI: 10.1016/j.gloenvcha.2011.09.006
  6. Makarov V.L., Bakhtizin A.R., Epstein J.M. (2022). Agent-Based Modeling for a Complex World. 2nd Edition, Revised. Moscow: Scientific publications department, GAUGN.
  7. Makarov V.L., Bakhtizin A.R., Loginov E.L. (2022). Primenenie ekonomiko-matematicheskikh metodov i modelei optimal'nogo planirovaniya v tsifrovoi ekonomike budushchego (TsEMI AN SSSR i TsEMI RAN: prognosticheskaya interpretatsiya i razvitie nauchnogo naslediya nobelevskikh laureatov L.V. Kantorovicha i V.V. Leont’eva) [Application of Economic and Mathematical Methods and Models of Optimal Planning in the Digital Economy of the Future (CEMI of the USSR Academy of Sciences and CEMI of the Russian Academy of Sciences: Prognostic Interpretation and Development of the Scientific Heritage of Nobel Laureates L.V. Kantorovich and V.V. Leontiev)]. Moscow: TsEMI RAN.
  8. Makarov V.L., Bakhtizin A.R., Rossoshanskaya E.A., Doroshenko T.A., Samsonova N.A. (2023). Problems of standardization of agent-based model description and possible ways to solve them. Vestnik Rossiiskoi akademii nauk, 93(4), 362–372 (in Russian).
  9. Makarov V.L., Bakhtizin A.R., Sushko E.D. (2015). Simulating the reproductive behavior of a region’s population with an agent-based model. Ekonomika regiona=Economy of Region, 3, 312–322. DOI: 10.17059/2015-3-25 (in Russian).
  10. Makarov V.L., Bakhtizin A.R., Sushko E.D., Sushko G.B. (2018). Development of an agent-based demographic model of Russia and its supercomputer implementation. Vychislitel’nye metody i programmirovanie, 19, 368–378. DOI: 10.26089/NumMet.v19r433 (in Russian).
  11. Makarov V.L., Bakhtizin A.R., Sushko E.D., Sushko G.B. (2019). Agent-based supercomputer demographic model of Russia: Approbation analysis. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 12(6),74–90. DOI: 10.15838/esc.2019.6.66.4 (in Russian).
  12. Rossoshanskaya E.A., Doroshenko T.A., Samsonova N.A. et al. (2022). Agent-based demographic model of the Far East as a tool to support management decision making. Gosudarstvennoe upravlenie. Elektronnyi vestnik, 94. DOI: 10.24412/2070-1381-2022-94-203-224 (in Russian).
  13. Rybakovsky O.L. (2023). Depopulation in the regions of Russia: Results for 1992–2022 and components. Narodonaselenie=Population, 26(2), 4–17. DOI: 10.19181/population.2023.26.2.1 (in Russian).
  14. Shabunova A.A., Kalachikova O.N., Korolenko A.V. (2021). Demograficheskaya situatsiya i sotsial’no-demograficheskaya politika Vologodskoi oblasti v usloviyakh pandemii COVID-19: II regional’nyi demograficheskii doklad [Demographic Situation and Socio-Demographic Policy of the Vologda Oblast in the Conditions of the COVID-19 Pandemic: Second Regional Demographic Report]. Vologda: VolRC RAS.
  15. 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), 9. Available at: http://jasss.soc.surrey.ac.uk/16/4/9.html. DOI: 10.18564/jasss.2327
  16. Sushko E.D. (2012). Mul’tiagentnaya model’ regiona: kontseptsiya, konstruktsiya i realizatsiya: preprint [Multi-Agent Model of the Region: Concept, Design and Realization: Preprint]. Moscow: TsEMI RAN.

Article views

all: , this year: , this month: , today:

Article downloads

all: , this year: , this month: , today:

View full article