Sebastian Hübner
University of Bremen
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Publication
Featured researches published by Sebastian Hübner.
IEEE Intelligent Systems | 2004
Sebastian Hübner; Rainer Spittel; Ubbo Visser; Thomas Vögele
Our main objective is to develop user-centric services to support better governance, democratic processes, and a sustainable and balanced development of rural and urban areas around the North Sea. A bike trip example offers a detailed look at the GeoShare Networks technologies, including ontologies for describing vocabularies and catalogs. We also discuss about the spatial data infrastructure consisting of a spatial reasoner, a Web catalog service, distributed Web map services, and a generic Web map client and about the ontology-based search for interactive digital maps.
robot soccer world cup | 2001
Ubbo Visser; Christian Drücker; Sebastian Hübner; Esko Schmidt; Hans Georg Weland
The online coach within the simulation league has become more powerful over the last few years. Therefore, new options with regard to the recognition of the opponents strategy are possible. For example, the online coach is the only player who gets the information of all the objects on the field. This leads to the idea determine the opponents play system by the online coach and then choose an effective counter-strategy. This has been done with the help of an artificial neural network and will be discussed in this paper. All soccer-clients are initialized with a specific behavior and can change their behavior to an appropriate mode depending on the coachs commands. The result is a flexible and effective game played by the eleven soccer-clients.
robot soccer world cup | 2002
Christian Drücker; Sebastian Hübner; Ubbo Visser; Hans Georg Weland
With the more sophisticated abilities of teams within the simulation league, high level online functions become more and more attractive. Last year we proposed an approach to recognize the opponents strategy and developed the online coach accordingly. The coach was able to detect their strategy and then passed this information together with appropriate countermeasures to his team. However, this approach gives only information about the entire team and is not able to detect significant situations (e.g. double pass, standard situations). In this paper we describe a new decision tree induction for continous valued time series, used to analyze the behaviour of opponent players.
international joint conference on artificial intelligence | 2001
Holger Wache; Thomas Vögele; Ubbo Visser; Heiner Stuckenschmidt; Gerhard Schuster; H. Neumann; Sebastian Hübner
GI Jahrestagung (2) | 2004
Michael Lutz; Udo Einspanier; Eva Klien; Sebastian Hübner
KI | 2003
Thomas Vögele; Sebastian Hübner; Gerhard Schuster
the florida ai research society | 2008
Sebastian Hübner; Ubbo Visser
robot soccer world cup | 2001
Christian Drücker; Sebastian Hübner; Esko Schmidt; Ubbo Visser; Hans-Georg Weland
Archive | 2004
Sebastian Hübner; Rainer Spittel; Ubbo Visser; Thomas Vögele
KI | 2003
Ubbo Visser; Sebastian Hübner