IDEAS home Printed from https://ideas.repec.org/a/scn/cememm/v49y2013i4p18-32.html

Применение Суперкомпьютерных Технологий В Общественных Науках

Author

Listed:
  • Макаров В.Л.
  • Бахтизин А.Р.

Abstract

Статья содержит краткий экскурс по вопросам применения суперкомпьютерных технологий в общественных науках, в первую очередь - в части технической реализации крупномасштабных агент-ориентированных моделей (АОМ). Суть данного инструмента в том, что благодаря увеличению мощности компьютеров стало возможным описывать поведение многих отдельных фрагментов сложной системы. В результате мечта многих мыслителей научиться объяснять макроявление на основе поведения его составных частей стала воплощаться в реальность. Например, физики, умеющие описывать поведение элементарных частиц, создали компьютерную имитацию действий большого ансамбля таких частиц и стали изучать его поведение в компьютере, а не в жизни. Таким образом появилось понятие искусственной реальности. В статье мы рассмотрим опыт зарубежных ученых и практиков в запуске АОМ на суперкомпьютерах, а также на примере АОМ, разработанной в ЦЭМИ РАН, проанализируем этапы и методы эффективного отображения счетного ядра мультиагентной системы на архитектуру современного суперкомпьютера.

Suggested Citation

  • Макаров В.Л. & Бахтизин А.Р., 2013. "Применение Суперкомпьютерных Технологий В Общественных Науках," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(4), pages 18-32, октябрь.
    • Handle: RePEc:scn:cememm:v:49:y:2013:i:4:p:18-32
    Note: Москва
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Christophe Deissenberg & Sander van Der Hoog & Herbert Dawid, 2008. "EURACE: A Massively Parallel Agent-Based Model of the European Economy," Working Papers halshs-00339756, HAL.
    2. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    2. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 7, pages 1-44.
    3. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    4. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 4, pages 1-32.
    5. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    6. Roberto Veneziani & Luca Zamparelli & Michalis Nikiforos & Gennaro Zezza, 2017. "Stock-Flow Consistent Macroeconomic Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1204-1239, December.
    7. Tang, Wenwu & Bennett, David A., 2011. "Parallel agent-based modeling of spatial opinion diffusion accelerated using graphics processing units," Ecological Modelling, Elsevier, vol. 222(19), pages 3605-3615.
    8. F. LeRon Shults & Wesley J. Wildman, 2020. "Human Simulation and Sustainability: Ontological, Epistemological, and Ethical Reflections," Sustainability, MDPI, vol. 12(23), pages 1-16, December.
    9. Tang, Wenwu & Bennett, David A., 2012. "Reprint of: Parallel agent-based modeling of spatial opinion diffusion accelerated using graphics processing units," Ecological Modelling, Elsevier, vol. 229(C), pages 108-118.
    10. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2019. "What if supply-side policies are not enough? The perverse interaction of flexibility and austerity," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 360-388.
    11. Claudius Gräbner, 2018. "Formal Approaches to Socio-economic Analysis—Past and Perspectives," Forum for Social Economics, Taylor & Francis Journals, vol. 47(1), pages 32-63, January.
    12. Ricardo Sosa, 2011. "Understanding the Future of Change Agency in Sustainability Through Cellular Automata Scenarios: The Role of Timing †," Sustainability, MDPI, vol. 3(4), pages 1-18, March.
    13. Hua Li & Qifang Wang & Ye Wu, 2025. "From Mobile Media to Generative AI: The Evolutionary Logic of Computational Social Science Across Data, Methods, and Theory," Mathematics, MDPI, vol. 13(19), pages 1-17, September.
    14. John Sherwood & Anthony Ditta & Becky Haney & Loren Haarsma & Michael Carbajales-Dale, 2017. "Resource Criticality in Modern Economies: Agent-Based Model Demonstrates Vulnerabilities from Technological Interdependence," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-22, September.
    15. Lucio Biggiero & Enrico Sevi, 2009. "Opportunism by cheating and its effects on industry profitability. The CIOPS model," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 191-236, September.
    16. Luís de Sousa & Alberto Rodrigues da Silva, 2015. "Showcasing a Domain Specific Language for Spatial Simulation Scenarios with case studies," ERSA conference papers ersa15p1044, European Regional Science Association.
    17. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    18. Eugenio Caverzasi & Antoine Godin, 2013. "Stock-flow Consistent Modeling through the Ages," Economics Working Paper Archive wp_745, Levy Economics Institute.
    19. Giovanni Luca Ciampaglia, 2013. "A Framework For The Calibration Of Social Simulation Models," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-29.
    20. Givanni Bonfani & Marco Villani, 2013. "Exaptation in innovation processes: theory and models," Chapters, in: Anna Grandori (ed.), Handbook of Economic Organization, chapter 10, Edward Elgar Publishing.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:scn:cememm:v:49:y:2013:i:4:p:18-32. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sergei Parinov (email available below). General contact details of provider: http://www.cemi.rssi.ru/emm/home.htm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.