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A Computational Laboratory for Evolutionary Trade Networks

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Author Info
McFadzean, David
Stewart, Deron
Tesfatsion, Leigh

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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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Publisher 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 Feb 2002
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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
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Web page: http://www.econ.iastate.edu
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Related research
Keywords: Trade network formation; computational laboratory; open source software; Trade Network Game (TNG);

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Find related papers by JEL classification:
C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming
C9 - Mathematical and Quantitative Methods - - Design of Experiments
D0 - Microeconomics - - General

Cited by:
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  1. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002. [Downloadable!]
  2. 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. [Downloadable!]
  3. 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. [Downloadable!]
  4. Babanov, A. & Ketter, W. & Gini, M., 2008. "An Evolutionary Framework for Determining Heterogeneous Strategies in Multi-Agent Marketplaces," Research Paper ERS-2008-002-LIS Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  5. Pingle, Mark & Tesfatsion, Leigh S., 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. [Downloadable!]
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This page was last updated on 2009-12-5.

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