Analysis of Multi-agent Systems on Planer Cells Consisting of Local Interaction and GP Learning―Applications to the Analysis of Collaboration Among Firms, Considering Chaoticity and It's Control―

DOI NDL Digital Collections Web Site 3 Citations

Bibliographic Information

Other Title
  • 局所的な交互作用とGPによる学習を行うエージェントシステムのセル平面解析―企業間コラボレーションにおけるカオス性分析と制御への応用―
  • キョクショテキ ナ コウゴ サヨウ ト GP ニ ヨル ガクシュウ オ オコナウ エージェント システム ノ セル ヘイメン カイセキ キギョウカン コラボレーション ニ オケル カオスセイ ブンセキ ト セイギョ エ ノ オウヨウ

Search this article

Description

<p>This paper deals with the analysis of multi-agent systems on planer cells consisting of local interaction and GP learning and its applications to the analysis of collaboration among firms. As the model of agents' behavior, we assume two types of model. As the first type of agents model, we assume two kinds of agents having own utility functions predict their optimal behavior, and then the market assess the production and employment which is used for the GP learning of agents. As the second model, the single-type agents are assumed to behave on the Prisoner's dilemma game, and their behavior is updated based on the GP learning using prescribed payoff. By simulation studies we show various chaotic phenomena are observed besides the equilibrium. Then, the control method based on GP procedure is proposed which leads the system to the formation of clusters of agents' states. Finally, the model is extended to describe the collaboration and modular production among firms by relaxing the constraints posed on the local interactions.</p>

Journal

Citations (3)*help

See more

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top