DocumentCode
1811302
Title
An Evolutionary Cooperative Mechanism for Multi-agent System
Author
Liu, Renping ; Wang, Yuehai
Author_Institution
Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
fYear
2010
fDate
24-25 July 2010
Firstpage
146
Lastpage
149
Abstract
The optimal solution for the cooperation win-win task for Multi-agent system (MAS) was studied and a automatic negotiation reciprocal mechanism was build in this paper for the typical case of multi- agent foraging. The equivalences between agent in MAS and player in game theory, optimal solution in MAS and equilibrium in game theory, and cooperation task in MAS and multi-stage Markov game were then established. To the difficulties of equilibriums selection, a hawk dove game model, which is a uncorrelated asymmetry game, is build from the point view of evolutionary game theory. And a self-enforcing cooperative algorithm based on replicator dynamic was proposed to find the evolutionary stable strategy of hawk dove game. The simulation verified the effectiveness of the proposed approach.
Keywords
Markov processes; evolutionary computation; game theory; multi-agent systems; cooperation win-win task; evolutionary cooperative mechanism; evolutionary game theory; game theory; hawk dove game model; multi-agent foraging; multi-agent system; multistage Markov game; negotiation reciprocal mechanism; self-enforcing cooperative algorithm; Computer science; Decision support systems; Information technology; MAS; evolutionary cooperative mechanism; hawk dove game; multi-agent foraging; replicator dynamic;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Computer Science (ITCS), 2010 Second International Conference on
Conference_Location
Kiev
Print_ISBN
978-1-4244-7293-2
Electronic_ISBN
978-1-4244-7294-9
Type
conf
DOI
10.1109/ITCS.2010.42
Filename
5557310
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