A C++ Platform for the Evolution of Trade Networks
AbstractThis paper presents a general C++ platform for the implementation of a trade network game (TNG) that combines evolutionary game play with preferential partner selection. In the TNG, successive generations of resource constrained traders choose and refuse trade partners on the basis of continually updated expected payoffs, engage in risky trades modelled as two-person games, and evolve their trade strategies over time. The modular design of the TNG platform facilitates experimentation with alternative specifications for market structure, trade partner matching, trading, expectation formation, and trade strategy evolution. The TNG platform can be used to study the evolutionary implications of these specifications at three different levels: individual trader attributes, trade network formation, and social welfare. Citation Copyright 1999 by Kluwer Academic Publishers.
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Bibliographic InfoArticle provided by Society for Computational Economics in its journal Computational Economics.
Volume (Year): 14 (1999)
Issue (Month): 1-2 (October)
Other versions of this item:
- David MCFADZEAN & Leigh TESFATSION, 1996. "A C++ Platform For The Evolution Of Trade Networks," Economic Report 39, Iowa State University Department of Economics.
- McFadzean, David & Tesfatsion, Leigh S., 1999. "A C++ Platform for the Evolution of Trade Networks," Staff General Research Papers 1639, Iowa State University, Department of Economics.
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- D - Microeconomics
- L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
- L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
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.:
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Game Theory and Information
9501002, EconWPA, revised 20 Jan 1995.
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