Cooperative RoboCup agents using Genetic Case-based Reasoning

• Main Authors: He Zhi Lin, 林合治
• Other Authors: 郭忠義
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/b9n6gh

碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 96 === RoboCup (Robot world cup tournament) soccer game is a competition game. It has already become a popular research domain in recent years. Our research includes complex system behavior of multiple agents. The goal of developing RoboCup is an attempt to promote AI and robotics, and some researchers even wish RoboCup robots can win human soccer players. In this paper, we proposed a hybrid approach to implementing our RoboCup agent. It can provide good strategy for robots planning base on all kinds of conditions and saving experience for future reusage. Robots will grow up by our hybrid approach without prior defining knowledge and complex mathematics basis and can learn by saving experience. The robots not only learn how to score but also learn how to avoid making the same mistakes. And we show the effectiveness of the proposed method by implementing a prototype and by comparing with another learning approach.