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ROBOCUP
2005
Springer

Sequential Pattern Mining for Situation and Behavior Prediction in Simulated Robotic Soccer

10 years 1 months ago
Sequential Pattern Mining for Situation and Behavior Prediction in Simulated Robotic Soccer
Agents in dynamic environments have to deal with world rep- To appear in: RoboCup 2005: Robot Soccer World Cup IX, c Springer-Verlag, 2006 resentations that change over time. In order to allow agents to act autonomously and to make their decisions on a solid basis an interpretation of the current scene is necessary. If intentions of other agents or events that are likely to happen in the future can be recognized the agent’s performance can be improved as it can adapt the behavior to the situation. In this work we present an approach which applies unsupervised learning off-line to a qualitative abstraction in order to create frequent patterns in dynamic scenes. These patterns can be later applied during runtime in order to predict future situations and behaviors. The pattern mining approach was applied to two games of the 2D RoboCup simulation league.
Andreas D. Lattner, Andrea Miene, Ubbo Visser, Ott
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where ROBOCUP
Authors Andreas D. Lattner, Andrea Miene, Ubbo Visser, Otthein Herzog
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