人工知能学会研究会資料 知識ベースシステム研究会
Online ISSN : 2436-4592
134回 (2025/2)
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反応閾値に基づくタスク割当手法のRoboCupRescue Simulationにおける有効性
藤澤 丈安藤 圭祐内種 岳詞岩田 員典伊藤 暢浩
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p. 07-13

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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.

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