All
 
|
 
 


Agent-based model “Intellectual Russia”: Model construction and initial population analysis
 
PIIS042473880021777-3-1
DOI10.31857/S042473880021777-3
Publication type Article
Status Published
Authors
Anatoly Akinshin 
Occupation: Head of local networks laboratory
Affiliation: CEMI RAS
Address: Moscow, Nakhimovski 47
Olga Kuznetsova
Occupation: Junior Researcher, Laboratory of Computer Modeling of Socio-Economic Processes
Affiliation: Central Economics and Mathematics Institute, Russian Academy of Sciences
Address: Russia
Nerses Khachatryan
Affiliation: Central Economics and Mathematics Institute, Russian Academy of Sciences
Address: Russian Federation
Svetlana Borisova
Occupation: Senior researcher
Affiliation: CEMI RAS
Address: Nachimovky prospect 47
Journal nameEkonomika i matematicheskie metody
EditionVolume 58 Issue 3
Pages79-93
Abstract

In recent years forecasting with agent-based modeling has become very popular. This is due to a significant increase in computing power and as a result the possibility of conducting a large number of experiments. Agent-based modeling is based on the creation of decentralized agents and the study of their behavior which determines the behavior of the entire system as a whole. This article describes the developing of agent-based model, including information about the creation of initial population of human agents (that simulates the Russian regions’ population) and algorithms of their actions (that form the basis for their autonomous behavior). Each human agent of the initial population gets his own individual characteristics including the level of satisfaction and the level of labor  potential. All Russian regions are characterized by aggregate indicators of human agents living in its territory, as well as a number of permanent exogenous indicators. The algorithms of action described in this article should determine internal migration processes and the structure of employees by type of economic activity. This will allow predicting the level of labor potential of employees in each industry in the region. The model creates the initial population of human agents using official statistical data and also form the aggregated data on characteristics of regions and industries, that are analyzed and visualized in the article

Keywordsagent-based model, forecasting, Russian regions, industries, level of labor potential, level of satisfaction, computer experiments
Received30.03.2022
Publication date22.09.2022
Number of characters30262
Cite  
100 rub.
When subscribing to an article or issue, the user can download PDF, evaluate the publication or contact the author. Need to register.

Number of purchasers: 0, views: 223

Readers community rating: votes 0 

1. Akinshin A.A., Khachatryan N.K., Kuznetsova O.I. (2021).  Simulation model of the Russian society: storage of model data, processing and presentation of results. Herald of Central Economics and Mathematics Institute, Russian Academy of Sciences, 4, 1. DOI: 10.33276/S265838870015583-4. Available at: https://cemi.jes.su/s265838870015583-4-1  (in Russian).
2. Bakhtizin A.R., Makarov V.L., Sushko E.D., Maksakov A.A. (2021). Demographic agent-based model of Russia and assessment of its applicability for solving practical management prob-lems. Artificial Societies, 16, 2. DOI: 10.18254/S207751800015357-1. Available at: https://artsoc.jes.su/s207751800015357-1-1/  (in Russian).
3. Clements A.J., Fadai N.T. (2022). Agent-based modelling of sports riots. Physica A: Statistical Mechanics and its Applications, 597. DOI: 10.1136/bjsports-2017-098871. Available at: https://doi.org/10.1016/j.physa.2022.127279 
4. Doroshenko T.A. (2019). Development of an agent-based model of educational migration in the region. The Eurasian Scientific Journal, 5 (11). Available at: https://esj.today/PDF/17ECVN519.pdf  (in Russian).
5. Hulme A., Thompson J., Nielsen R.O., Read G.J.M., Salmon P.M. (2019). Towards a complex systems approach in sports injury research: Simulating running-related injury development with agent-based modelling. British Journal of Sports Medicine, 53 (9). DOI: 10.1177/1046878120914336. Available at: https://bjsm.bmj.com/content/53/9/560 
6. Khachatryan N.K., Akinshin A.A., Kuznetsova O.I. (2020 a). Simulation model of Russian so-ciety. Creation and analysis of virtual population. Artificial Societies, 15, 4. DOI: 10.18254/S207751800012620-1. Available at: https://arxiv.gaugn.ru/s207751800012620-1-1/  (in Russian).
7. Khachatryan N.K., Kuznetsova O.I. (2020). Computer modelling of options of distribution of in-novative activity on regions of Russia. Vestnik CEMI, RAS, 1, 1. DOI: 10.33276/S0000105-8-1. Available at: https://cemi.jes.su/s111111110000105-8-1/  (in Russian).
8. Khachatryan N.K., Kuznetsova O.I. (2020). Computer modelling of options of spatial develop-ment of scientific and technological sphere in the Russian Federation. Economics and Mathematical Methods, 56, 3, 45–55 (in Russian).
9. Kuznetsova O.I. (2021). Agent-based model “Intellectual Russia”: Study of the level of labor po-tential and the level of satisfaction in the regional and sectoral sections. Artificial Societies, 16, 4. DOI: 10.18254/S207751800017946-9. Available at: https://artsoc.jes.su/s207751800017946-9-1/  (in Russian).
10. Makarov V.L., Bakhtizin A. R., Beklaryan G.L., Akopov A.S. (2019b). Development of software framework for large-scale agent-based modeling of complex social systems. Software Engineering, 10, 4, 167–177 (in Russian).
11. Makarov V.L., Bakhtizin A.R., Beklaryan G.L., Akopov A.S. (2019a). Simulation modeling of the smart city system: The concept, methods and cases. National Interests: Priorities and Security, 15, 2, 200–224 (in Russian).
12. Makarov V.L., Bakhtizin A.R., Beklaryan G.L., Akopov A.S., Rovenskaya E.A., Strelkovsky N.V. (2019c). Aggregated agent-based simulation model of migration flows of the European Union countries. Economics and Mathematical Methods, 55, 1, 3–15 (in Russian).
13. Makarov V.L., Bakhtizin A.R., Sushko E.D., Sushko G.B. (2018b). Development of an agent-based demographic model of Russia and its supercomputer implementation. Numerical Me-thods and Programming, 19, 4, 368–378 (in Russian).
14. Makarov V.L., Bakhtizin A.R., Sushko E.D., Vasenin V.A., Borisov V.A., Roganov V.A. (2016). Supercomputer technologies in social science: Agent-oriented demographic models. Herald of the Russian Academy of Sciences, 86, 5, 412–421 (in Russian).
15. Makarov V.L., Bakhtizin A.R., Sushko E.D., Ageeva A.F. (2018a). An agent-based model of Eu-rasia and simulation of consequences of large infrastructure projects. Economy of Region, 14, 4, 1102–1116 (in Russian).
16. Naumov I.V. (2019). Investigation of the interregional relationships in the processes of shaping the territories' investment potential using the methods of spatial modelling. Economy of Regions, 15, 3, 720–735 (in Russian).
17. Nizamutdinov M.M., Atnabaeva A.R., Akhmetzyanova M.I. (2020). Research of interregional migration processes based on simulation modelling. Proceedings of the RAS Ufa Scientific Centre, 3, 93–99 (in Russian).
18. Platas-López A., Guerra-Hernández A.,  Grimaldo F. (2021). On the macroeconomic effect of extortion: An agent-based approach. Journal of Artificial Societies and Social Simulation, 24 (1), 3. DOI: 10.18564/jasss.4496. Available at: http://jasss.soc.surrey.ac.uk/24/1/3.html 
19. Rosenbusch H., Röttger J., Rosenbusch D. (2020). Would Chuck Norris certainly win the hunger games? Simulating the result reliability of battle Royale games through agent-based models. Simulation & Gaming, 51 (4). DOI: 10.1177/1046878120914336. Available at: https://journals.sagepub.com/doi/10.1177/1046878120914336 
20. Takacsa K., Squazzoni F. (2015). High standards enhance inequality in idealized labor markets. Journal of Artificial Societies and Social Simulation, 18 (4), 2. DOI: 10.18564/jasss.2940. Available at: https://www.jasss.org/18/4/2.html 
21. Wang Y., Zhang Qi, Sannigrahi S., Qirui Li, Tao S., Bilsborrow R., Li  J., Song C. (2021). Un-derstanding the effects of China’s agro-environmental policies on Rural Households’ Labor and Land allocation with a spatially explicit agent-based model. Journal of Artificial Societies and Social Simulation, 24 (3), 7. DOI: 10.18564/jasss.4589. Available at: https://www.jasss.org/24/3/7.html

Система Orphus

Loading...
Up