Agents Come to Bits: Towards a Constructive Comprehensive Taxonomy of Economic Entities
This essay is an invited comment on Philip Mirowski's essay titled "Markets Come to Bits: Evolution, Computation, and Markomata in Economic Science," also to appear in JEBO. In his usual brilliant and provocative style, Mirowski argues for a constructive approach to economic modeling centered on the computational representation of markets as integrated sets of algorithms that evolve over time. 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. Annotated pointers to related work can be accessed here: http://www2.econ.iastate.edu/tesfatsi/ace.htm
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|Date of creation:||01 Jan 2007|
|Date of revision:|
|Publication status:||Published in Journal of Economic Behavior and Organization 2007, vol. 63, pp. 333-346|
|Contact details of provider:|| Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070|
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
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- 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.
- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
- 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.
- Tesfatsion, Leigh, 2006.
"Agent-Based Computational Economics: A Constructive Approach to Economic Theory,"
Staff General Research Papers
12514, Iowa State University, Department of Economics.
- 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.
- Leigh Tesfatsion, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Computing in Economics and Finance 2006 527, Society for Computational Economics.
- Axelrod, Robert & Tesfatsion, Leigh, 2006. "A Guide for Newcomers to Agent-Based Modeling in the Social Sciences," Staff General Research Papers 12515, Iowa State University, Department of Economics.
- 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.
- 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.
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