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.
Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League
Institute for Big Data Analytics, Dalhousie University（达尔豪斯大学大数据分析研究所）；Qom University of Technology（库姆理工大学）；Shiraz University（设拉子大学）；Amirkabir University of Technology（阿米卡比尔理工大学）；Institute for Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所）；Memorial University of Newfoundland（纽芬兰纪念大学）
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2024
CYRUS Robotic Team（CYRUS机器人团队）；Memorial University of Newfoundland（纽芬兰纪念大学）；Sharif University of Technology（谢里夫理工大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）
针对 Soccer Simulation 2D 中部分观测与噪声问题，本文提出一种结合预测建模和交叉分析的去噪算法，并给出框架、实现及初步结果，以提升 CYRUS 队的比赛表现。
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning
Institute for Big Data Analytics, Dalhousie University（达尔豪斯大学大数据分析研究所）；Qom University of Technology（库姆科技大学）；Shiraz University（设拉子大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Institute for Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所）；Memorial University of Newfoundland（纽芬兰纪念大学）
本文介绍了 RoboCup 2021 2D 足球仿真冠军 CYRUS 的三大核心功能：多动作盘带、传球预测和盯人决策，分别提升了盘带成功率、团队协作和防守策略。
CYRUS Soccer Simulation 2D Team Description Paper 2022
Dalhousie University（达尔豪斯大学）；Amirkabir University of Technology（阿米尔卡比尔理工大学）；Qom University of Technology（库姆理工大学）；Shiraz University（设拉子大学）；Polish Academy of Sciences（波兰科学院）；Memorial University of Newfoundland（纽芬兰纪念大学）
K. N. Toosi University of Technology（K. N. 图西理工大学）；Qazvin Azad University（加兹温阿扎德大学）；Tehran University（德黑兰大学）
Cyrus 2D Soccer Simulation成立于2012年，旨在研究和开发多智能体系统。今年我们与Ziziphus合作，加快了我们的研究。本文简要介绍了一种利用神经网络对多智能体系统中玩家行为进行预测的方法。该数据集是从过去几年RoboCup比赛的日志文件中获得的。行为预测用于拦网、盯人和防守决策。塞勒斯使用的基本代码是特工3.11.
Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games
Institute for Big Data Analytics, Dalhousie University（达尔豪斯大学大数据分析研究所）；Shiraz University（设拉子大学）；Qom University of Technology（库姆理工大学）；Institute for Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所）；Memorial University of Newfoundland（纽芬兰纪念大学）
