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A C++ PLATFORM FOR THE EVOLUTION OF TRADE NETWORKS AgEcon
McFadzean, David; Tesfatsion, Leigh.
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...
Tipo: Working or Discussion Paper Palavras-chave: C++ platform; Trade networks; Evolutionary game; Partner matching; Endogenous interactions; Agent-based computational economics; Artificial life; International Relations/Trade.
Ano: 1996 URL: http://purl.umn.edu/18192
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A COMPUTATIONAL LABORATORY FOR EVOLUTIONARY TRADE NETWORKS AgEcon
Tesfatsion, Leigh; Stewart, Deron; McFadzean, David.
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 use 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 statistics are also provided in real time. The capabilities of the TNG Lab are demonstrated by means of labor market experiments.
Tipo: Working or Discussion Paper Palavras-chave: Computational laboratory; Buyer-seller trade networks; Evolutionary game; Network animation; Agent-based computational economics; C++ class framework; Labor market experiments; International Relations/Trade.
Ano: 2000 URL: http://purl.umn.edu/18199
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