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A Computational Laboratory for Evolutionary Trade Networks

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Author Info

  • McFadzean, David
  • Stewart, Deron
  • Tesfatsion, Leigh S.

Abstract

This report presents, motivates, and illustrates the use of a computational laboratory for the investigation of evolutionary trade network formation among strategically interacting buyers, sellers, and dealers. The computational laboratory, referred to as the Trade Network Game Laboratory (TNG Lab), is targeted for the Microsoft Windows desktop. The TNG Lab is both modular and extensible and has a clear, easily operated graphical user interface. It permits visualization of the formation and evolution of trade networks by means of run-time animations. Data tables and charts reporting descriptive performance statistics are also provided in real time. The capabilities of the TNG Lab are demonstrated by means of labor market experiments. An automatic installation program for the TNG Lab is available online, as well as TNG Lab tutorials. TNG downloads, tutorials, and research articles can be accessed at: http://www.econ.iastate.edu/tesfatsi/TNGHome.htm

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Bibliographic Info

Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 2049.

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Date of creation: 01 Oct 2001
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Publication status: Published in IEEE Transactions on Evolutionary Computation, October 2001, vol. 5 no. 5, pp. 546-560
Handle: RePEc:isu:genres:2049

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
Email:
Web page: http://www.econ.iastate.edu
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Related research

Keywords: Trade networks; evolutionary game; partner choice; Agent-based test bed; Trade Network Game laboratory;

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References

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  1. 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.
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Cited by:
  1. Mark Pingle and Leigh Tesfatsion, 2001. "Unemployment Insurance and the Evolution of Worker-Employer\n Cooperation: Experiments with Real and Artificial Agents," Computing in Economics and Finance 2001 279, Society for Computational Economics.
  2. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers 10376, Iowa State University, Department of Economics.
  3. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
  4. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
  5. Leigh Tesfatsion & Mark Pingle, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," Computing in Economics and Finance 2003 7, Society for Computational Economics.

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