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A Computational Laboratory for Evolutionary Trade Networks

  • David McFadzean

    (Javien Canada Inc)

  • Deron Stewart

    (Consultant Programmer)

  • Leigh Tesfatsion

    (Iowa State University)

This study 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 targetted 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 real-time animations. Data tables and charts reporting descriptive performance are also provided in real time. The capabilities of the TNG Lab are demonstrated by means of labor market experiments.

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File URL: http://128.118.178.162/eps/comp/papers/0004/0004004.zip
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File URL: http://128.118.178.162/eps/comp/papers/0004/0004004.pdf
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Paper provided by EconWPA in its series Computational Economics with number 0004004.

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Length: 22 pages
Date of creation: 11 Nov 2000
Date of revision:
Handle: RePEc:wpa:wuwpco:0004004
Note: Type of Document - Zip file containing pdf, html, and gif files; prepared on IBM PC - PC-TEX/; to print on HP/PostScript/; pages: 22 ; figures: included
Contact details of provider: Web page: http://128.118.178.162

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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, June.
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