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A Computational Laboratory for Evolutionary Trade Networks

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Author Info
David McFadzean (Javien Canada Inc)
Deron Stewart (Consultant Programmer)
Leigh Tesfatsion (Iowa State University)

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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.

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Publisher Info
Paper provided by EconWPA in its series Computational Economics with number 0004004.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
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
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Web page: http://129.3.20.41

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Related research
Keywords: Agent-based computational economics; Computational Laboratory; Buyer-seller trade networks; Evolution; Network animation; Endogenous interactions; Labor market experiments; C++ class framework;

Other versions of this item:

Find related papers by JEL classification:
C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming
C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
C9 - Mathematical and Quantitative Methods - - Design of Experiments
D4 - Microeconomics - - Market Structure and Pricing
D8 - Microeconomics - - Information, Knowledge, and Uncertainty
J2 - Labor and Demographic Economics - - Demand and Supply of Labor
J6 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies

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Cited by:
(explanations, 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.)
  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. [Downloadable!]
  2. 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!]
  3. 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!]
  4. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002. [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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