Team Classification Method Using Mixed Models and Its Application in RoboCup Soccer Simulation

Abstract

RoboCupSoccer simulation is a simulation of soccer played by robots. As in real soccer, it is important to understand the strategy of the opponents and select an appropriate strategy. However, it is difficult to understand the strategy in real time, and it is common to select a strategy from pre-defined strategies based on the team name, but it is not possible to deal with unknown teams. Therefore, we propose a method for analyzing and classifying strategies based on the opponent's behavior using a mixture model.