A Computational Laboratory for Evolutionary Trade Networks
AbstractThis 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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Bibliographic InfoPaper provided by EconWPA in its series Computational Economics with number 0004004.
Length: 22 pages
Date of creation: 11 Nov 2000
Date of revision:
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://220.127.116.11
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:
- McFadzean, David & Stewart, Deron & Tesfatsion, Leigh S., 2001. "A Computational Laboratory for Evolutionary Trade Networks," Staff General Research Papers 2049, Iowa State University, Department of Economics.
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- 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, Vacancies, and Immigrant Workers
This paper has been announced in the following NEP Reports:
- NEP-ALL-2001-02-14 (All new papers)
- NEP-EVO-2001-02-14 (Evolutionary Economics)
- NEP-NET-2001-02-14 (Network Economics)
- NEP-TID-2001-02-14 (Technology & Industrial Dynamics)
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.:
- 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, December.
- 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.
- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
- 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.
- 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.
- 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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