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Strategies for the Study of Complex Socio-Economic Systems: an Approach Using Agent-Based Simulation

Author

Listed:
  • Leonardo Augusto Amaral Terra

    (Universidade de São Paulo)

  • João Luiz Passador

    (Universidade de São Paulo)

Abstract

The present paper proposes a research strategy that integrates top-down and bottom-up approaches, aimed at the study of complex socio-economic systems. Through a theoretical analysis, it is demonstrated throughout the text a strategy that allows the articulation between agent-based simulation approaches and methods of deductive and phenomenological basis capable of providing social sciences with unprecedented accuracy due to ethical and methodological limitations imposed by the study object until then. This is because this type of hybrid approach allows the construction of a deep systemic articulation between the micro and the macro, as advocated by the General Theory of Systems, at the same time as it is supported by systematic experiments that give new light to the study of the socio-economic complexity.

Suggested Citation

  • Leonardo Augusto Amaral Terra & João Luiz Passador, 2018. "Strategies for the Study of Complex Socio-Economic Systems: an Approach Using Agent-Based Simulation," Systemic Practice and Action Research, Springer, vol. 31(3), pages 311-325, June.
  • Handle: RePEc:spr:syspar:v:31:y:2018:i:3:d:10.1007_s11213-017-9427-6
    DOI: 10.1007/s11213-017-9427-6
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    References listed on IDEAS

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    1. Timothy R. Gulden, 2013. "Agent-Based Modeling as a Tool for Trade and Development Theory," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(2), pages 1-1.
    2. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    3. Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran, 2006. "Agent-Based Computational Modelling: An Introduction," Contributions to Economics, in: Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), Agent-Based Computational Modelling, pages 1-16, Springer.
    4. 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.
    5. Andreas Pyka & Thomas Grebel, 2006. "Agent-Based Modelling — A Methodology for the Analysis of Qualitative Development Processes," Contributions to Economics, in: Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), Agent-Based Computational Modelling, pages 17-35, Springer.
    6. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    7. C. K. Prahalad & Gary Hamel, 1994. "Strategy as a field of study: Why search for a new paradigm?," Strategic Management Journal, Wiley Blackwell, vol. 15(S2), pages 5-16, June.
    8. Lynne Hamill, 2010. "Agent-Based Modelling: The Next 15 Years," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(4), pages 1-7.
    9. Jarzabkowski, Paula & Wilson, David C., 2006. "Actionable Strategy Knowledge:: A Practice Perspective," European Management Journal, Elsevier, vol. 24(5), pages 348-367, October.
    10. Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), 2006. "Agent-Based Computational Modelling," Contributions to Economics, Springer, number 978-3-7908-1721-8.
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