Abstract
Recently, Robocup Simulation League have attracted much attention.
In this paper, decision-making with SVM for Robocup soccer agents is proposed. In the proposed method, some routines such as
penetrating pass, shoot and so on are implemented in advance.
Then, several games against recent binaries are examined in order
to collect data. SVM learns situation where implemented routines
are successful.