Simulation of adaptation process in hypergame situation by genetic algorithm

U. S. Putro, K. Kijima*, S. Takahashi

*この研究の対応する著者

研究成果: Article査読

抄録

The purpose of this paper is to analyze adaptation process of two interacting groups of agents in hypergame situation by simulation, where each group adopts an internal learning behavior. That is, we attempt to clarify which learning behavior facilitates the adaptation process to converge on equilibria of the traditional game situation (TGS), and facilitates the groups to learn the equilibria correctly. First, we define the hypergame situation, in which each agent is assumed to have only internal model of the situation and exchanges information only with other agents in the same group. Then, we develop adaptation process model, in which genetic algorithm has role to improve each group's perceptions, and a simulation of the process. Finally, by examining the simulation results, we point out that learning behavior accommodating subjective Nash equilibria is critical to the performance of the adaptation process, in the situations with one or more TGS Nash equilibria.

本文言語English
ページ(範囲)15-37
ページ数23
ジャーナルSystems Analysis Modelling Simulation
40
1
出版ステータスPublished - 2001 1月 1
外部発表はい

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 応用数学

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