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
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;
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
DOI :
10.1109/ITCS.2010.42