Situation Based Strategic Positioning for Coordinating a Team of Homogeneous Agents
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
The RoboCup Synthetic Agent Challenge 97
RoboCup-97: Robot Soccer World Cup I
Automated Assistants to Aid Humans in Understanding Team Behaviors
RoboCup-99: Robot Soccer World Cup III
Automated Assistants for Analyzing Team Behaviors
Autonomous Agents and Multi-Agent Systems
Multi-agent strategic modeling in a robotic soccer domain
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Analysis and Forecast of Team Formation in the Simulated Robotic Soccer Domain
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
An overview on opponent modeling in RoboCup soccer simulation 2D
Robot Soccer World Cup XV
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Behaviors in soccer-agent domains can involve individual plays, several players involved in tactical plays or the whole team trying to follow strategies supported by specific formations. The discovery of such behaviors needs the tracking of both the positions of players at any instant of the game and relevant relations able to represent particular interactions between players. Nevertheless, the tracking task becomes very complicated because the dynamic conditions of the game implying drastic changes of positions and interactions between players. We propose in this work a model able to manage the constant changes occurring in the game, which consists in building topological structures based on triangular planar graphs. Thus, based on this model tactical behavior patterns have been discovered even the dynamic conditions. Experimental results show that the proposed model is able to manage the constant changes of the world and discover tactical behaviors patterns. For that, an important number of matches have been analyzed from the RoboCup Simulation league.