主催: 人工知能学会
会議名: 第134回知識ベースシステム研究会
回次: 134
開催地: ホテルラフォーレ那須
開催日: 2025/02/28 -
p. 07-13
RoboCupRescue Simulation serves as a benchmark for evaluating disaster rescue agents' strategies. Rescue strategies for disaster rescue agents must adapt to various disaster environments, including situations where agents cannot communicate with each other. In this study, we focus on the response threshold method for selecting rescue tasks in such environments. We evaluate its effectiveness by comparing the benchmark scores of the response threshold method and the alternative. The results indicate that the response threshold method outperforms the alternative in certain environments.