Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options

Jin, Nanlin and Tsang, Edward (2006) Co-adaptive Strategies for Sequential Bargaining Problems with Discount Factors and Outside Options. In: 2006 IEEE International Conference on Evolutionary Computation. IEEE, Piscataway, NJ, pp. 2149-2156. ISBN 0-7803-9487-9

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Bargaining is fundamental in social activities. Game-theoretic methodology has provided theoretic solutions for certain abstract models. Even for a simple model, this method demands substantial human intelligent effort in order to solve game-theoretic equilibriums. The analytic complexity increases rapidly when more elements are included in the models. In our previous work, we have demonstrated how co-evolutionary algorithms can be used to find approximations to game-theoretic equilibriums of bargaining models that consider bargaining costs only. In this paper, we study more complicated bargaining models, in which outside option is taken into account besides bargaining cost. Empirical studies demonstrate that evolutionary algorithms are efficient in finding near-perfect solutions. Experimental results reflect the compound effects of discount factors and outside options upon bargaining outcomes. We argue that evolutionary algorithm is a practical tool for generating reasonably good strategies for complicated bargaining models beyond the capability of game theory.

Item Type: Book Section
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 11 Aug 2014 11:37
Last Modified: 10 Nov 2016 12:39

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