DocumentCode
2795801
Title
Evolutionary dynamics of multi-agent formation
Author
Qin, Jin ; Ban, Xiaojuan ; Li, Xin
Author_Institution
Coll. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2009
fDate
17-19 June 2009
Firstpage
3557
Lastpage
3561
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.
Keywords
game theory; multi-agent systems; evolutionary dynamics; game theory; multi-agent formation; update equations; win-stay-lose-shift strategy; Biological system modeling; Computer science; Control systems; Educational institutions; Equations; Game theory; Information science; Multiagent systems; Robustness; Vehicle dynamics; Evolutionary dynamics; Game theory; Multi-agent formation; Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5192601
Filename
5192601
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