Design and Implementation of a General Decision-making Model in RoboCup Simulation

TL;DR

This paper presents a universal decision-making model for RoboCup simulation that simplifies agent tactics by focusing on two key parameters, improving ease of implementation and consistency across different game situations.

Contribution

A general decision-making model based on distance and visual angle for RoboCup simulation, replacing multiple specific algorithms for various tactics.

Findings

Model is applicable to both offensive and defensive decisions.

Compared to the 2001 world champion team, the model is more universal and easier to implement.

Applied successfully in the NOVAURO RoboCup team.

Abstract

The study of the collaboration, coordination and negotiation among different agents in a multi-agent system (MAS) has always been the most challenging yet popular in the research of distributed artificial intelligence. In this paper, we will suggest for RoboCup simulation, a typical MAS, a general decision-making model, rather than define a different algorithm for each tactic (e.g. ball handling, pass, shoot and interception, etc.) in soccer games as most RoboCup simulation teams did. The general decision-making model is based on two critical factors in soccer games: the vertical distance to the goal line and the visual angle for the goalpost. We have used these two parameters to formalize the defensive and offensive decisions in RoboCup simulation and the results mentioned above had been applied in NOVAURO, original name is UJDB, a RoboCup simulation team of Jiangsu University, whose decision-making model, compared with that of Tsinghua University, the world champion team in 2001, is a universal model and easier to be implemented.