A C++ PLATFORM FOR THE EVOLUTION OF TRADE NETWORKS

David McFadzean and Leigh Tesfatsion ()

No 39, Economic Report from Iowa State University Department of Economics

Abstract: 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.

Keywords: C++ platform; trade networks; evolutionary game; partner matching; endogenous interactions; agent-based computational economics; artificial life (search for similar items in EconPapers)
Date: 1996-12
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Citations: View citations in EconPapers (20)

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Related works:
Journal Article: A C++ Platform for the Evolution of Trade Networks (1999)
Working Paper: A C++ Platform for the Evolution of Trade Networks (1999)
Working Paper: A C++ Platform for the Evolution of Trade Networks (1999)
Working Paper: A C++ PLATFORM FOR THE EVOLUTION OF TRADE NETWORKS (1996)
Working Paper: A C++ Platform for the Evolution of Trade Networks (1996)
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Persistent link: https://EconPapers.repec.org/RePEc:isu:iowaer:39

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