A Computational Laboratory for Evolutionary Trade Networks

David McFadzean, Deron Stewart and Leigh Tesfatsion ()
Additional contact information
David McFadzean: Javien Canada Inc
Deron Stewart: Consultant Programmer

Computational Economics from EconWPA

Abstract: 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.

Keywords: Agent-based computational economics; Computational Laboratory; Buyer-seller trade networks; Evolution; Network animation; Endogenous interactions; Labor market experiments; C++ class framework (search for similar items in EconPapers)
JEL-codes: C6 C7 C9 D4 D8 J2 J6 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-evo, nep-net and nep-tid
Date: 2000-11-11
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
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http://129.3.20.41/eps/comp/papers/0004/0004004.html (text/html)

Related works:
Working Paper: A Computational Laboratory for Evolutionary Trade Networks (2000)
Working Paper: A Computational Laboratory for Evolutionary Trade Networks (2002)
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Persistent link: http://EconPapers.repec.org/RePEc:wpa:wuwpco:0004004

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