Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (24): 198-204.DOI: 10.3778/j.issn.1002-8331.2007-0322

• Pattern Recognition and Artificial Intelligence • Previous Articles     Next Articles

Ant Colony Optimization for Continuous Domains Applied to Cooperative Game

LI Zhuangkuo, CHANG Kaixuan   

  1. School of Business, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
  • Online:2021-12-15 Published:2021-12-13



  1. 桂林电子科技大学 商学院,广西 桂林 541004


In the theoretical research of cooperative games, the classic solution concept of cooperative game does not embody the limited rationality and interactional game-playing behavior of the player in the solution process. In the real world, the allocation schemes are often formed through the player’s rational interaction and strategic changes. This paper introduces rational factors and control factors to describe the players’ decision-making behaviors during the game, establishes a cooperative game model considering interaction behavior, and uses ant colony optimization for continuous domains to solve the cooperative game. An example shows that this method can ensure the allocation scheme satisfies the effectiveness and the individual rationality, and can quickly obtain the only allocation scheme of the alliance. It provides a new idea and tool for solving cooperative games.

Key words: cooperative game, interactive behavior, negotiation, ant colony optimization for continuous domains



关键词: 合作博弈, 互动行为, 谈判, 连续蚁群算法