Controlling Physical Multiagent Teams: Getting League-Independent Results from RoboCup Soccer

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Autor/en:
Oliver Obst
Umfang:
194
EAN/ISBN:
978-3-89838-304-2
Erscheinungsdatum:
Mittwoch, 31. Januar 2007
Band:
304
Ausgabe:
softcover
Buchreihe:
Dissertationen zur Künstlichen Intelligenz
Kategorien:
Buch
Informatik
Künstliche Intelligenz
Dissertationen zur Künstlichen Intelligenz
Englisch
Gesamtverzeichnis AKA Verlag
Preis:
50,00 €
inkl. 7% MwSt.
During the last years, Robotic Soccer has become one of the most challenging research fields for multiagent systems (MAS). In RoboCup soccer, teams of autonomous agents have to cooperatively solve the problem of winning against another team of agents. There are different leagues to adress a wide area of research problems. However, many of the solutions to these are also league-dependent. This thesis contributes tools and techniques to create physical MAS in domains where each agent has insufficient capabilities for solving the problem alone. All contributions of this thesis adresses the problem of league independent solutions and provide means to create more generally applicable approaches. The contribution of this dissertation have shown to be useful within the simulated robotic soccer domain and real robotic soccer. As a result, more general MAS research problems can be stated, and domain knowledge can be shared between different leagues.