A C++ Platform for the Evolution of Trade Networks
Source: Computational Economics, Volume 14, Number 1-2, October 1999 , pp. 109-134(26)
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.
Document Type: Regular Paper
Affiliations: 1: Kumo Software Corporation, 1400, 520-5th Avenue S.W., Calgary, AB T2P 3R7, Canada E-mail: firstname.lastname@example.org 2: Department of Economics, Iowa State University, Ames, IA 50011-1070, U.S.A. E-mail: email@example.com
Publication date: 1999-10-01