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

Hee Taek Kim, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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. Co-evolutionary 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.

Original languageEnglish
Title of host publication2009 IEEE Congress on Evolutionary Computation, CEC 2009
Pages2143-2148
Number of pages6
DOIs
Publication statusPublished - 2009 Nov 25
Event2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway
Duration: 2009 May 182009 May 21

Publication series

Name2009 IEEE Congress on Evolutionary Computation, CEC 2009

Other

Other2009 IEEE Congress on Evolutionary Computation, CEC 2009
CountryNorway
CityTrondheim
Period09/5/1809/5/21

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Kim, H. T., & Cho, S. B. (2009). Modeling multi-agent labor market based on co-evolutionary computation and game theory. In 2009 IEEE Congress on Evolutionary Computation, CEC 2009 (pp. 2143-2148). [4983206] (2009 IEEE Congress on Evolutionary Computation, CEC 2009). https://doi.org/10.1109/CEC.2009.4983206