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)
会議情報

RoboCup Soccer シミュレーションにおける混合モデルを用いたチーム分類法とその活用
福田 遥生, 安藤 圭祐, 内種 岳詞, 岩田 員典, 伊藤 暢浩
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p. 20-26

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RoboCupSoccer simulation is a simulation of soccer played by robots. As in real soccer, it is important to understand the strategy of the opponents and select an appropriate strategy. However, it is difficult to understand the strategy in real time, and it is common to select a strategy from pre-defined strategies based on the team name, but it is not possible to deal with unknown teams. Therefore, we propose a method for analyzing and classifying strategies based on the opponent's behavior using a mixture model.

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