Design and Validation of an Evaluation Function for Action Chain Search during Free Kick in RoboCup2D Simulation

Abstract

In fields such as Go and Shogi, the usefulness of artificial intelligence has been recognized. However, it is impossible to apply the knowledge gained there to real world problems. If artificial intelligence can be applied to real-world problems, the possibilities for artificial intelligence will expand even further. Therefore, in order to set up a problem close to the real world, we used the ”RoboCup Soccer Simulation 2D League” as the subject of our experiment and aimed to improve the strength of the team using artificial intelligence. Experiments were conducted using fuzzy inference methods and genetic algorithms. In this paper, we will design an evaluation function to improve the strength of teams, and examine the usefulness of artificial intelligence-based teams based on the competitive performance of the designed teams.