RoboCup is a particularly good domain for studying multi-agent systems. A wide variety of MAS issues can be studied in robotic soccer, in which the theory, algorithm and architecture of agent system can be evaluated. ...RoboCup is a particularly good domain for studying multi-agent systems. A wide variety of MAS issues can be studied in robotic soccer, in which the theory, algorithm and architecture of agent system can be evaluated. Because of the inherent complexity of MAS, there are many interests in using machine learning techniques to handle it. This paper investigates and discusses the machine-learning techniques used in RoboCup. The background is firstly presented and the application of machine learning in RoboCup is lately demonstrated with some top simulation teams. The machine-learning system in NDSocTeam is also introduced. Finally some open issues in this field are pointed out.展开更多
机器人足球赛Robocup(Robot World Cup)是国际上规模最大且影响最为广泛的机器人足球赛事。机器人足球比赛已经成为当前人工智能研究的热点之一,作为多Agent系统的一个理想的试验平台,它涉及到了多个技术领域。文章应用神经网络技术解决...机器人足球赛Robocup(Robot World Cup)是国际上规模最大且影响最为广泛的机器人足球赛事。机器人足球比赛已经成为当前人工智能研究的热点之一,作为多Agent系统的一个理想的试验平台,它涉及到了多个技术领域。文章应用神经网络技术解决Robocup仿真组比赛的进攻策略问题,对射门底层技术进行了有效优化。我们把这种策略与以往的基于逻辑准则的策略进行了比较。基于神经网络的优化射门策略在很多情况下会做出更好的决定。展开更多
文摘RoboCup is a particularly good domain for studying multi-agent systems. A wide variety of MAS issues can be studied in robotic soccer, in which the theory, algorithm and architecture of agent system can be evaluated. Because of the inherent complexity of MAS, there are many interests in using machine learning techniques to handle it. This paper investigates and discusses the machine-learning techniques used in RoboCup. The background is firstly presented and the application of machine learning in RoboCup is lately demonstrated with some top simulation teams. The machine-learning system in NDSocTeam is also introduced. Finally some open issues in this field are pointed out.
文摘机器人足球赛Robocup(Robot World Cup)是国际上规模最大且影响最为广泛的机器人足球赛事。机器人足球比赛已经成为当前人工智能研究的热点之一,作为多Agent系统的一个理想的试验平台,它涉及到了多个技术领域。文章应用神经网络技术解决Robocup仿真组比赛的进攻策略问题,对射门底层技术进行了有效优化。我们把这种策略与以往的基于逻辑准则的策略进行了比较。基于神经网络的优化射门策略在很多情况下会做出更好的决定。
