A C++ PLATFORM FOR THE EVOLUTION OF TRADE NETWORKS

This 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.


Issue Date:
1996
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/18192
Total Pages:
33
Series Statement:
Economic Report 39




 Record created 2017-04-01, last modified 2017-08-24

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