Motion and Episode Models for (Simulated) Football Games Acquisition, Representation, and Use

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 meaning...

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Veröffentlicht in:Autonomous Agents and Multiagent Systems: Proceedings, 3rd International Joint Conference, New York City, New York, 2004. S. 1370 - 1371
Hauptverfasser: Beetz, Michael, Stammeier, Thomas, Flossmann, Sven
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 19.07.2004
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
Application software
Citation analysis
Computing methodologies > Artificial intelligence > Distributed artificial intelligence
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Multi-agent systems
Information systems
Intelligent systems
Motion analysis
Performance analysis
Permission
Sensor systems
Software systems
Theory of computation > Logic > Automated reasoning
ISBN:9781581138641, 1581138644
Online-Zugang:Volltext
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Zusammenfassung: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.
Bibliographie:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:9781581138641
1581138644
DOI:10.5555/1018411.1018946