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
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;
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
DOI :
10.1109/CCDC.2009.5192601
