Motion and episode models for (simulated) football games: acquisition, representation, and use
Motion and episode models for (simulated) football games: acquisition, representation, and use
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（模拟）足球比赛的运动和情节模型：获取、表示和使用
DOI：
10.1109/aamas.2004.177
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
S. Flossmann
中科院分区：
文献类型：
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作者：
M. Beetz;Thomas Stammeier;S. Flossmann
智能体表现出连续行为的多智能体系统研究的关键问题之一是基于可观察行为的有意活动的自动识别和分析。这种分析要求软件系统将运动构造成在应用领域中有意义的事件，获取和维护活动模型，并使用这些模型来推理多代理系统行为。在本文概述的研究中，我们研究了足球比赛的情节和运动模型的获取。我们表明，这些模型可以实现令人印象深刻的应用系统，包括交互式足球电视和帮助教练分析球队的代理系统。
One of the key problems in the study of multi agent systems in which the agents exhibit continuous behavior is the automatic recognition and analysis of intentional activities based on observable behavior. Such an analysis requires software systems to structure motions into episodes that are meaningful in the application domains, to acquire and maintain models of the activities, and to use such models to reason about multi agent system behavior. In the research sketched in this paper we study the acquisition of episode and motion models for football games. We show that these models allow for the realization of impressive application systems including interactive football TV and agent systems that assist coaches in analyzing their teams.