Support set selection for abductive and default reasoning
Artificial Intelligence
Recognizing planned multiperson action
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Interpretation of Spatio-temporal Relations in Real-Time and Dynamic Environments
RoboCup 2001: Robot Soccer World Cup V
RoboCup 2001: Robot Soccer World Cup V
On computing all abductive explanations
Eighteenth national conference on Artificial intelligence
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Fast and complete symbolic plan recognition
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Hi-index | 0.00 |
According to the expert literature on (human) soccer, e.g., the tactical behavior of a soccer team should differ significantly with respect to the tactics and strategy of the opponent team. In the offensive phase the attacking team is usually able to actively selectan appropriate tactic with limited regard to the opponent strategy. In contrast, in the defensive phase the more passive recognitionof tactical patterns of the behavior of the opponent team is crucial for success. In this paper we present a qualitative, formal, abductive approach, based on a uniform representation of soccer tactics that allows to recognize/explain the tactical and strategical behavior of opponent teams based on past (usually incomplete) observations.