Design Of A Multi-agent System In RoboCup Simulation Tournament And Study Of Its Learning

With the development of cybernetics and computer technology , the theories of multi-agent system and relevant application study in distributed artificial intelligence already become the study focus of artificial intelligence and intellectual control.The Robot World Cup (RoboCup) Initiative is an attempt to foster artificial intelligence (AI) and intelligent robotics research by providing a standard problem where a wide range of technologies can be integrated and examined. RoboCup's ultimate long-term goal is stated as follows:By mid-21st century, a team of fully autonomous humanoid robot soccer players shall win a soccer game, complying with the official rules of the FIFA, against the winner of the most recent world cup for human players.By learning the experience and lessons of other robotic soccer simulation teams, adopting a layer structure, Windows 2000 platform, and VC 6.0 development environment, we have designed AFU2003 robotic soccer simulation team of Southern Yangtze University (SYTU), and carried on relatively deep research work in following: 1.Further study SoccerServer model of the robotic soccer simulation tournament, this is the foundation of designing a robotic soccer simulation teamï¼› 2.Have designed dribbling module, pass module, penalty kick module, defence module,flexible team strategy module,online coach and heterogeneous players module,etcï¼› 3.Have designed the neural network training tool based on Levenberg-Marquardt BP algorithmï¼› 4.Through studying Markov decision-making process and reinforcement learning algorithm, have designed the shoot module based on Q learning method.