A Cooperation Model Using Reinforcement Learning for Multi-agent
In multi-agent systems, the common goals of each agent are established and the problems are solved through cooperation and control among agents. Because each agent performs parallel processes in a multi-agent system, this approach can be easily applied to problems requiring parallel processing. The parallel processing prevents system performance degradation due to local error operation in the system. It also can reduce the solution time when the problem is divided into several sub-problems. In this case, each agent is designed independently providing a relatively simple programming model for solution of the problem. Further, the system can be easily expanded by adding new function agents. In the study of multi-agent systems, the main research topic is the coordination and cooperation among agents.
KeywordsReinforcement Learning Virtual World Reinforcement Signal Head Direction Role Coordination
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- 1.Co-ordination in Multi-Agent Systems. In: Software Agents and Soft Computing, Towards Enhancing Machine Intelligence, concepts and Application. Springer, Heidelberg (1997)Google Scholar
- 2.Brooks, R., Maes, P. (eds.): Artificial Life IV. MIT Press, Cambridge (1994)Google Scholar
- 3.Asama, H., et al. (eds.): Distributed Autonomous Robotic Systems I, II. Springer, Heidelberg (1994)Google Scholar
- 4.Lee, D.W., Sim, K.B.: Behavior Learning and Evolution of Collective Autonomous Mobile Robots usingGoogle Scholar
- 5.: Distributed Genetic Algorithms. In: Proc. of 2nd AScian Control Conference, vol. 2, pp. 675–678 (1997)Google Scholar
- 6.Ono, N., Fukumoto, K., Ikeda, O.: Collective Behavior by Modular Reinforcement Learning Animate. In: Proceedings of 4th international Conference on Simulation of Adaptive Behavior, pp. 618–624 (1997)Google Scholar
- 7.Tananka, Y., Yoshida, T.: An Application of Reinforcement Learning to Manufacturing Scheduling Google Scholar
- 8.Problems. IEEE 4, 534–539 (1999)Google Scholar
- 9.Cunningham, P., Evans, R.: Software Agents: A review (1997)Google Scholar
- 10.Nwana, H.S., Lee, L., Jennings, N.R.: Co-ordination in Multi-Agent Systems, Software Agents and SoftGoogle Scholar
- 11.Computing Towards Enchancing Machine Intelligence. Concepts and Application. Springer, Heidelberg (1997)Google Scholar