Rational Passing Decision Based on Region for the Robotic Soccer

摘要

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.