Using agent-based models in the analysis and forecast of socio-economic development of territories

Автор: Makoveev Vitalii Nikolaevich

Журнал: Economic and Social Changes: Facts, Trends, Forecast @volnc-esc-en

Рубрика: Young researchers

Статья в выпуске: 5 (47) т.9, 2016 года.

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The purpose of the paper is to study the essence of agent-based modeling, defining its features and prospects of usage in the modeling of socio-economic development of territories and systematization of domestic and foreign approaches to the development of prototypes for agent- based models of territories. Information basis for the research comprised the works on agent-based modeling by Russian and foreign scholars, especially articles and monographs of scientists of the Central Economics and Mathematics Institute under the Russian Academy of Sciences, papers presented in an international journal The Journal of Artificial Societies and Social Simulation and other sources available on the Internet. The article presents theoretical and methodological foundations of agent-based models of territories. The author considers the concepts of “agent-based modeling” and “agent” and defines specifics of agent-based models in comparison with other types of simulation modeling. The paper also describes major stages of building agent-based models for territories and considers qualification requirements to a modeling subject...

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Economy, mathematical modeling, agent-based models of socio-economic development

Короткий адрес: https://sciup.org/147223876

IDR: 147223876   |   DOI: 10.15838/esc.2016.5.47.15

Список литературы Using agent-based models in the analysis and forecast of socio-economic development of territories

  • Makarov V.L., Bakhtizin A.R., Sushko E.D., Vasenin V.A., Borisov V.A., Roganov V.A. Agent-orientirovannye modeli: mirovoi opyt i tekhnicheskie vozmozhnosti realizatsii na superkomp'yuterakh . Vestnik RAN , 2016, no. 3, p. 253..
  • Bakhtizin A.R. Agent-orientirovannye modeli ekonomiki . Moscow: Ekonomika, 2008. 279 p..
  • Boev V.D., Kirik D.I., Sypchenko R.P. Komp'yuternoe modelirovanie: posobie dlya kursovogo i diplomnogo proektirovaniya . Saint Petersburg: VAS, 2011. 348 p..
  • Borshchev A.V. Imitatsionnoe modelirovanie: sostoyanie oblasti na 2015 god, tendentsii i prognoz . IMMOD 2015. Available at: http://www.anylogic.ru/upload/pdf/immod15_borshchev_statia.pdf..
  • Granberg A.G. Modelirovanie sotsialisticheskoi ekonomiki: uchebnik dlya vuzov . Moscow: Ekonomika, 1988. 487 p..
  • Denisova S.V., Bakhtizin A.R. Modelirovanie protsessa sliyanii organizatsii s pomoshch'yu agent-orientirovannoi modeli . Problemnyi analiz i gosudarstvenno-upravlencheskoe proektirovanie , 2011, no. 2, p. 60..
  • Zvyagin L.S. Prakticheskie priemy modelirovaniya ekonomicheskikh sistem . Problemy sovremennoi ekonomiki: materialy IV mezhdunar. nauch. konf. (g. Chelyabinsk, fevral' 2015 g.) . Chelyabinsk: Dva komsomol'tsa, 2015. P. 14-19..
  • Zul'karnai I.U. Zadacha agent-orientirovannogo modelirovaniya raspredeleniya funktsii po vertikali v asimmetrichnoi federatsii . Vestnik Bashkirskogo universiteta , 2014, vol. 19, no. 4, pp. 1249-1255..
  • Ivanter V.V. Strategiya perekhoda k ekonomicheskomu rostu//Problemy prognozirovaniya, 2016, no. 1, pp. 3-8.
  • Laboratoriya agentnogo modelirovaniya . Available at: http://abm.center..
  • Makarov V.L., Bakhtizin A.R. Sotsial'noe modelirovanie -novyi komp'yuternyi proryv (agent-orientirovannye modeli) . Moscow: Ekonomika, 2013. 295 p..
  • Makarov V.L. Iskusstvennye obshchestva . Iskusstvennye obshchestva , 2006, vol. 1, no. 1, pp. 10-24..
  • Makarov V.L., Bakhtizin A.R. Sovremennye metody prognozirovaniya posledstvii upravlencheskikh reshenii . Upravlencheskoe konsul'tirovanie , 2015, no. 7, pp. 12-24..
  • Makarov V.L., Sushko E.D., Bakhtizin A.R. Obshchee opisanie modeli Vologodskoi oblasti “Gubernator” . Available at: http://abm.center/publications/index.php?ID=276..
  • Makarov V.L., Sushko E.D., Bakhtizin A.R. Obshchee opisanie demograficheskoi modeli “Rossiya” . Available at: http://abm.center/publications/index.php?ID=278..
  • Makarov V., Bakhtizin A., Sushko E. Modelirovanie demograficheskikh protsessov s ispol'zovaniem agent-orientirovannogo podkhoda . Federalizm , 2014, no. 4, p. 37..
  • Musaev A., Shevchik A. Tikhaya kognitivnaya revolyutsiya . Ekspert , 2016, no. 4, p. 45..
  • O strategicheskom planirovanii v Rossiiskoi Federatsii: Federal'nyi zakon: prinyat Gosudarstvennoi Dumoi 20 iyunya 2014 g. №172-FZ . Konsul'tant-plyus ..
  • Suslov V.I., Domozhirov D.A., Kostin V.S., Mel'nikova L.V., Ibragimov N.M., Tsyplakov A.A. Opyt agent-orientirovannogo modelirovaniya prostranstvennykh protsessov v bol'shoi ekonomike // Region: ekonomika i sotsiologiya , 2014, no. 4, pp. 32-54..
  • Okrepilov V.V., Makarov V.L., Bakhtizin A.R. et al. Primenenie superkomp'yuternykh tekhnologii dlya modelirovaniya sotsial'no-ekonomicheskikh sistem . Ekonomika regiona , 2015, no. 2, pp. 301-313..
  • Savchishina K. Prognozirovanie pokazatelei nalogovo-byudzhetnoi sfery v ramkakh kvartal'noi makroekonomicheskoi modeli "QUMMIR".//Nauchnye trudy INP RAN. MAKS Press, 2008..
  • Sayapova A.R. Tablitsy "zatraty-vypusk" v analize i prognozirovanii strukturnykh parametrov regiona.//Problemy prognozirovaniya, 2004, no. 6, p. 38..
  • Sushko E.D. Mul'tiagentnaya model' regiona . Available at: http://www.artsoc.ru/publications/index.php?ID=155..
  • Fattakhov M.R. Agent-orientirovannaya model' sotsial'no-ekonomicheskogo razvitiya Moskvy . Ekonomika i matematicheskie metody , 2013, no. 2, pp. 30-42..
  • Fattakhov M.R. Agent-orientirovannaya model' sotsial'no-ekonomicheskogo razvitiya megapolisov: avtoref. dis. na soisk. uch. st. k.e.n.: 08.00.13 . Moscow, 2011. 30 p..
  • Fomin A.V., Akopov A.S. Agent-orientirovannaya dinamicheskaya model' rossiiskogo farmatsevticheskogo rynka . Available at: http://abm.center/publications/index.php?ID=187..
  • Chekmareva E. A. Obzor rossiiskogo i zarubezhnogo opyta agent-orientirovannogo modelirovaniya slozhnykh sotsial'no-ekonomicheskikh sistem mezourovnya . Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz , 2016, no. 2, pp. 225-246..
  • Chirkunov K.S. Agentnoe modelirovanie razvitiya territorial'noi sistemy . Informatika i ee primeneniya , 2011, vol. 5, no. 1, pp. 58-64..
  • Chirkunov K.S. Mul'tiagentnyi podkhod i modelirovanie povedeniya vzaimodeistvuyushchikh ierarkhicheskikh sistem ekonomicheskoi prirody: avtoref. dis. … kand. fiz.-mat. nauk: 05.13.11 . Novosibirsk, 2012. 26 p..
  • Shirov A.A., Gusev M.S., Yantovskii A.A. Obosnovanie vozmozhnykh stsenariev dolgosrochnogo razvitiya rossiiskoi ekonomiki . Vserossiiskii ekonomicheskii zhurnal -“EKO” , 2012, no. 6..
  • Batty M. Urban Modeling. International Encyclopedia of Human Geography. Oxford: Elsevier, 2009. Pp. 51-58.
  • Bures V., Tucnik P. Complex agent-based models: Application of a constructivism in the economic research. Economics & Management, 2014, no. 17 (1), pp. 152-168.
  • Collier N. Repast HPC Manual. 2012. Available at: http://repast.sourceforge.net
  • Deissenberg C., van der Hoog S., Herbert D. EURACE: A Massively Parallel Agent-Based Model of the European Economy. Document de Travail No. 2008, vol. 39, 24 June.
  • Epstein J.M., Axtell R.L. Growing Artificial Societies: Social Science from the Bottom Up. Ch. V. Cambridge, Massachusetts: MIT Press, 1996.
  • Gilbert N. Agent-based models. Sage Publications Inc., 2008. 112 p.
  • Grassini M. Accumulation and Competitiveness. Available at: http://inforumweb.umd.edu/papers/conferences/2009/grassini_paper.pdf.
  • Haase D., Lautenbach S., Seppelt R. Modeling and simulating residential mobility in a shrinking city using an agent-based approach. Environ. Model. Softw., 2010, no. 25, pp. 1225-1240.
  • Heath B., Hill R., Ciarallo F. A Survey of Agent-Based Modeling Practices (January 1998 to July 2008). Journal of Artificial Societies and Social Simulation, 2009, no. 12 (4) 9. Available at: http://jasss.soc.surrey.ac.uk/12/4/9.html.
  • Heppenstall A., Malleson N., Crooks A.T. “Space, the Final Frontier”: How Good are Agent-based Models at Simulating Individuals and Space in Cities? Systems, 2016, no. 4 (1) 9. Available at: http://www.mdpi.com/2079-8954/4/1/9/pdf.
  • Jiang Х. Statistical and Economic Applications of Chinese Regional Input-Output Tables. Groningen, 2011.
  • Kravari K., Bassiliades N. A survey of agent platforms. Journal of Artificial Societies and Social Simulation, 2015, no. 18 (1) 11. Available at: http://jasss.soc.surrey.ac.uk/18/1/11.html.
  • Lynar T.M., Herbert R.D., Chivers W.J. Implementing an agent based auction model on a cluster of reused workstations. International J. of Computer Applications in Technology, 2009, vol. 34, no. 4, рp.13-24.
  • Magliocca N., Safirova E., McConnell V., Walls M. An economic agent-based model of coupled housing and land markets (CHALMS). Computers, Environment and Urban Systems, 2011, no. 35, pp. 183-191.
  • Cech P., Tucnik P., Bures V., Husrakova M. Modelling complexity of economic system with multi-agent systems. 5th International Conference on Knowledge Management and Information Sharing (KMIS 13), Vilamoura, Algarve, Portugal, 19-22 September 2013. Pp. 464-469.
  • Zhang H., Zeng Y., Bian L., Yu X. Modelling urban expansion using a multi agent-based model in the city of Changsha. Journal of Geographical Sciences, 2010, no. 20 (4), pp. 540-556.
  • Nikolai C., Madey G. Tools of the trade: a survey of various agent based modeling platforms. Journal of Artificial Societies and Social Simulation, 2009, no. 12 (2) 2. Available at: http://jasss.soc.surrey.ac.uk/12/2/2.html.
  • Parker J. A Flexible, Large-Scale, Distributed Agent Based Epidemic Model. Center on Social and Economic Dynamics. Working Paper No. 52, 2007. P.25.
  • Rui Y., Ban Y. Multi-agent simulation for modeling urban sprawl in the Greater Toronto Area. Proc. of the 13th AGILE International Conference on Geographic Information Science. Guimaraes, 2010. Available at: https://agile-online.org/Conference_Paper/CDs/agile_2010/ShortPapers_PDF/124_DOC.pdf.
  • Sun S., Manson S.M. Simple Agents, Emergent City: Agent-Based Modeling of Intraurban Migration. Computational Approaches for Urban Environments. Berlin: Springer, 2015. Pp. 123-147.
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