한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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- Pages.280-283
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- 2003
Research of Foresight Knowledge by CMAC based Q-learning in Inhomogeneous Multi-Agent System
- Hoshino, Yukinobu (Dept of Computer Science, Ritsumeikan University) ;
- Sakakura, Akira (Graduate School of Science and Engineering, Ritsumeikan University) ;
- Kamei, Katsuari (Dept of Computer Science, Ritsumeikan University)
- 발행 : 2003.09.01
초록
A purpose of our research is an acquisition of cooperative behaviors in inhomogeneous multi-agent system. In this research, we used the fire panic problem as an experiment environment. In Fire panic problem a fire exists in the environment, and follows in each steps of agent's behavior, and this fire spreads within the constant law. The purpose of the agent is to reach the goal established without touching the fire, which exists in the environment. The fire heat up by a few steps, which exists in the environment. The fire has unsureness to the agent. The agent has to avoid a fire, which is spreading in environment. The acquisition of the behavior to reach it to the goal is required. In this paper, we observe how agents escape from the fire cooperating with other agents. For this problem, we propose a unique CMAC based Q-learning system for inhomogeneous multi-agent system.
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