Abstract:

The coordination stability problem in complex environments is one of the key problems in the research of multiagent cooperation. We present a multiagent cooperation stability method on the basis of game theory methods and punishment mechanism. To maintain the stability of multiagent cooperation and achieve a balanced cooperation, a punishment is introduced and continuous adjustment of the penalty factors is performed. Agent credit values are fully considered when the cooperation team is formed. Simulation results show that the proposal can not only reduce task completion time effectively, but also avoid agent exits in the dynamic cooperation, thus improving the cooperation efficiency and stability.

Key words: evolutionary games, cooperation, punishment mechanism, credit value, multi-agent