Evolutionary dynamics of multi-agent formation

Authors:
Jin Qin;Xiaojuan Ban;Xin Li
Affiliations:
College of Information Engineering, University of Science & Technology Beijing, Beijing and College of Computer Science & Technology, Guizhou University, Guiyang;College of Information Engineering, University of Science & Technology Beijing, Beijing;College of Information Engineering, University of Science & Technology Beijing, Beijing and College of Information Science and Engineering, Henan University of Technology, Zhengzhou
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

To probe into the internal mechanism of multi-agent formation, game theory is used to model the interaction between agents and Win-Stay-Lose-Shift strategy to instruct agents' action. Equations are introduced to formulate how agents update their positions. The Win-Stay-Lose-Shift strategy along with the update equations depicts the dynamics of multi-agent formation. And simulations are designed and performed to observe the development of multi-agent formation. The results of simulation show the feasibility of the idea in this paper.