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Agents come to bits: Towards a constructive comprehensive taxonomy of economic entities

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  • Tesfatsion, Leigh

Abstract

Mirowski [Mirowski, P., 2007. Markets come to bits: evolution, computation, and markomata in economic science. Journal of Economic Behavior and Organization 63, 209–242] argues for a constructive approach to economic modeling centered on markets as evolving computational entities. This essay counters that a broader constructive approach to economic modeling can and should be taken. The recent advent of powerful computer technologies supporting agent-based modeling (ABM) renders feasible the computational study of economies modeled as evolving systems of interacting agents. In ABM, an “agent” refers broadly to bundled data and behavioral methods representing an entity constituting part of a computationally constructed world. Examples of possible agent referents include individuals, social groupings, institutions (e.g., markets), biological entities such as crops, and physical entities such as transportation networks and weather. Consequently, ABM provides tremendous opportunities for economists and other social scientists to tailor the breadth and depth of the entities represented in their models to the application at hand. A simple ABM of a two-sector decentralized market economy is used for concrete illustration.

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  • Tesfatsion, Leigh, 2007. "Agents come to bits: Towards a constructive comprehensive taxonomy of economic entities," ISU General Staff Papers 200701010800001419, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:200701010800001419
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    1. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    2. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    3. Albin, Peter & Foley, Duncan K., 1992. "Decentralized, dispersed exchange without an auctioneer : A simulation study," Journal of Economic Behavior & Organization, Elsevier, vol. 18(1), pages 27-51, June.
    4. Leigh Tesfatsion, 2005. "Agent-Based Computational Laboratories for the Experimental Study of Complex Economic Systems," Computing in Economics and Finance 2005 72, Society for Computational Economics.
    5. Epstein, Joshua M., 2006. "Remarks on the Foundations of Agent-Based Generative Social Science," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 34, pages 1585-1604, Elsevier.
    6. Axelrod, Robert & Tesfatsion, Leigh, 2006. "A Guide for Newcomers to Agent-Based Modeling in the Social Sciences," Staff General Research Papers Archive 12515, Iowa State University, Department of Economics.
    7. 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, April.
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    Cited by:

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    2. Dan Farhat, 2013. "The Economics of Vampires: An Agent-based Perspective," Working Papers 1301, University of Otago, Department of Economics, revised Jan 2013.
    3. Buitrago R., Ricardo E. & Barbosa Camargo, María Inés, 2021. "Institutions, institutional quality, and international competitiveness: Review and examination of future research directions," Journal of Business Research, Elsevier, vol. 128(C), pages 423-435.
    4. Poursalimi Jaghargh, Mohammad Javad & Mashhadi, Habib Rajabi, 2021. "An analytical approach to estimate structural and behavioral impact of renewable energy power plants on LMP," Renewable Energy, Elsevier, vol. 163(C), pages 1012-1022.
    5. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    6. Daniel FARHAT, 2023. "The economics and evolution of heroic behavior," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(636), A), pages 5-20, Autumn.
    7. Kumar, Satish & Chavan, Meena & Pandey, Nitesh, 2023. "Journal of International Management: A 25-year review using bibliometric analysis," Journal of International Management, Elsevier, vol. 29(1).
    8. Dan Farhat, 2011. "Bookworms versus Party Animals: An Artificial Labor Market with Human and Social Capital Accumulation," Working Papers 1103, University of Otago, Department of Economics, revised May 2011.

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    More about this item

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D - Microeconomics
    • E - Macroeconomics and Monetary Economics

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