A Trade Network Game With Endogenous Partner Selection1

نویسنده

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چکیده

This paper develops an evolutionary trade network game (TNG) that combines evolutionary game play with endogenous partner selection. Successive generations of resource-constrained buyers and sellers choose and refuse trade partners on the basis of continually updated expected payo®s. Trade partner selection takes place in accordance with a modi ̄ed Gale-Shapley matching mechanism, and trades are implemented using trade strategies evolved via a standardly speci ̄ed genetic algorithm. The trade partnerships resulting from the matching mechanism are shown to be core stable and Pareto optimal in each successive trade cycle. Nevertheless, computer experiments suggest that these static optimality properties may be inadequate measures of optimality from an evolutionary perspective.

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تاریخ انتشار 1997