| Anti-air Unit Learning Model Based on Multi-agent System Using Neural Network |
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Myung-Jin Choi, Sang-Heon Lee |
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National Defense University |
| 신경망을 이용한 멀티 에이전트 기반 대공방어 단위 학습모형 |
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최명진, 이상헌 |
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국방대학교 |
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| Abstract |
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In this paper, we suggested a methodology that can be used by an agent to learn models of other agents in a multi-agent system. To construct these model, we used influence diagram as a modeling tool. We present a method for learning models of the other agents at the decision nodes, value nodes, and chance nodes in influence diagram. We concentrated on learning of the other agents at the value node by using neural network learning technique. Furthermore, we treated anti-air units in anti-air defense domain as agents in multi. agent system. |
| Key Words:
Neural Network, Anti-air Unit, Multi-agent System, Influence Diagram |
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