Strategies For The Robot Soccer System

Multi-agent systems in complex, real-time domains require agents to cooperate effectively both autonomously and as part of a team. This dissertation is about multi-agent systems called a robotic soccer simulation team consisting of eleven autonomous agents. It operates in a physical soccer simulation system called soccer server, which enables teams of autonomous agents to play a game of soccer against each other. The soccer server provides a fully distributed real-time multi-agent environment with noise, collaboration and adversarial, in which teammates have to cooperate to achieve their common goal of winning the game. The simulation models many real-world complexities such as noise in object movement, noisy sensors and actuators, limited physical abilities and restricted communication. The main contributions of this thesis to the field of Multi-agent system include agent architecture, multi-agent teamwork, individual skills, a scoring policy for simulated soccer agents and an effective team strategy.First of all, the thesis defines the agent architecture of a team member within which a flexible team structure is presented, allowing agents to decompose the task space into flexible roles and allowing them to smoothly switch roles while acting. It defines agent roles, team formations, and pre-compiled multi-agent plans. Secondly, a method is presented for constructing individual skill layers and decision-making layers according to intelligent levels. The researefk work include the structural design of the iobots, the implementation of individual skills, a scoring policy for simulated soccer agents and the application of priority algorithms to achieve cooperation and competition among robots. What's more, the thesis makes prospects for the work that should be done next step based on the summary of the research.Finally, the thesis also contains a brief introduction to robotic soccer in general as well as a survey of prior research in soccer simulation. As such it provides a solid framework, which can serve as a basis for future research in the field of simulated robotic soccer.