11 search results - page 1 / 3 » The Winning Advantage: Using Opponent Models in Robot Soccer |
IDEAL
2009
Springer
13 years 9 months ago
2009
Springer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
ROBOCUP
2005
Springer
13 years 10 months ago
2005
Springer
Gaze direction determination of opponents and teammates is a very important ability for any soccer player, human or robot. However, this ability is still not developed in any of th...
AAAI
2000
13 years 5 months ago
2000
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
ISTA
2007
13 years 5 months ago
2007
: Soccer simulation is an effort to motivate researchers to perform artificial and robotic intelligence investigations in a multi-agent system framework. In this paper, we propose ...
ROBOCUP
2004
Springer
13 years 9 months ago
2004
Springer
In competitive domains, the knowledge about the opponent can give players a clear advantage. This idea lead us in the past to propose an approach to acquire models of opponents, ba...