Modeling multi-agent labor market based on co-evolutionary computation and game theory

Authors:
Hee-Taek Kim;Sung-Bae Cho
Affiliations:
Department of Computer Science, Yonsei University, Seoul, Republic of Korea;Department of Computer Science, Yonsei University, Seoul, Republic of Korea
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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Abstract

In a real-world, labor market consist of employer and employee, and these individuals form relationship through mutual interactions. This paper mainly focuses on development of multi-agent based evolutionary labor market by using co-evolutionary computation and game theory. Coevolutionary computation is used to define strategy of each agent dynamically, and game theory is used for modeling relationship between employee and employer. Gift exchange game is selected as game model regard to feature of proposed labor market framework. Various experiments were performed, and we analyzed the variation of interactions between employee and employer. Through the experimental result, we concluded that balanced power between employee and employer is important factor in maintenance and extension of labor market.