Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
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This paper presents the problem of the coordination of actions in a multi-agent system. The main difficulty in resolving this problem is the limited information. Each agent is provided only with partial information about the state of the team of agents. This paper presents a hybrid technique that combines the game theory tool and the voting schema, which is applied to create the method of coordination that deals with this problem. Appropriate simulation results of the proposed techniques are presented.