A C++ Platform for the Evolution of Trade Networks
AbstractThis study provides a detailed discussion of the C++ implementation of the Trade Network Game (TNG), a computational framework for studying the formation and evolution of trade networks in buyer-seller markets modeled as decentralized systems of autonomous strategically interacting agents with learning capabilities. The source code for this C++ implementation of the TNG is available online as freeware (see site below). Annotated pointers to related resources, including downloads, tutorials, and research publications, can be accessed at the following site: http://www.econ.iastate.edu/tesfatsi/tnghome.htm
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Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 1639.
Date of creation: 01 Jan 1999
Date of revision:
Publication status: Published in Computational Economics 1999, vol. 14, pp. 109-134
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
More information through EDIRC
Other versions of this item:
- McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Society for Computational Economics, vol. 14(1-2), pages 109-34, October.
- David MCFADZEAN & Leigh TESFATSION, 1996. "A C++ Platform For The Evolution Of Trade Networks," Economic Report 39, Iowa State University Department of Economics.
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- D - Microeconomics
- L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
- L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Tesfatsion, Leigh, 1997.
"A Trade Network Game with Endogenous Partner Selection,"
Staff General Research Papers
1680, Iowa State University, Department of Economics.
- Leigh TESFATSION, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Report 36, Iowa State University Department of Economics.
- Ashlock, Daniel & Smucker, Mark D. & Stanley, E. Ann & Tesfatsion, Leigh S., 1996.
"Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma,"
Staff General Research Papers
1687, Iowa State University, Department of Economics.
- Dan Ashlock & Mark D. Smucker & E. Ann Stanley & Leigh Tesfatsion, 1995. "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," Game Theory and Information 9501002, EconWPA, revised 20 Jan 1995.
- Leigh TESFATSION, 1995.
"How Economists Can Get Alife,"
37, Iowa State University Department of Economics.
- Richard R. Nelson, 1995. "Recent Evolutionary Theorizing about Economic Change," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 48-90, March.
- Ulrich Witt, 2006. "Evolutionary Economics," Papers on Economics and Evolution 2006-05, Max Planck Institute of Economics, Evolutionary Economics Group.
- Stanley, E.A. & Ashlock, Daniel & Tesfatsion, Leigh, 1994. "Iterated Prisoner's Dilemma with Choice and Refusal of Partners," Staff General Research Papers 11180, Iowa State University, Department of Economics.
- Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
- 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, January.
- Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-66, May.
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