An architecture for action selection in robotic soccer
Proceedings of the fifth international conference on Autonomous agents
Keepaway Soccer: A Machine Learning Testbed
RoboCup 2001: Robot Soccer World Cup V
FC Portugal Team Description: RoboCup 2000 Simulation League Champion
RoboCup 2000: Robot Soccer World Cup IV
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Visualization of Dominant Region in Team Games and Its Application to Teamwork Analysis
CGI '00 Proceedings of the International Conference on Computer Graphics
Using the Simulated Annealing Algorithm for Multiagent Decision Making
RoboCup 2006: Robot Soccer World Cup X
RoboCup 2006: Robot Soccer World Cup X
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For an agent to behave appropriately in an uncertain environment, efficient representation of knowledge and reliable reasoning mechanisms are at the core of design. This paper proposes a novel region based passing scheme for the robotic soccer. The scheme captures qualitative knowledge of soccer in a natural and efficient way. We implemented the rational passing decision based on region(RPDR) in our RoboCup simulation 3D team. Experiments show that our method outperforms the base line method, i.e. position searching approach.