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六子棋博弈系统中机器学习算法设计与研究
引用本文:于江明,袁斌杰,何灿辉,段琢华.六子棋博弈系统中机器学习算法设计与研究[J].韶关学院学报,2014(10):17-22.
作者姓名:于江明  袁斌杰  何灿辉  段琢华
作者单位:韶关学院 计算机科学学院,广东 韶关,512005
基金项目:韶关学院大学生创新创业训练计划国家级立项建设项目
摘    要:本文针对我校参加全国大学生博弈大赛完成的六子棋博弈系统,首先简要介绍本系统的一些关键构成。并重点论述了对现有的六子棋系统一个更进一步的优化,在MTD(f)算法上增加自适应宽度调整和在评估函数上增加TD_BP算法自我学习方法,使系统“思考”性的能力更加强。

关 键 词:六子棋  计算机博弈  评估函数  开局库  TD_BP算法

Machine learning research and design of algorithm Connect6 game system
YU Jiang-ming,YUAN Bin-jie,HE Can-hui,DUAN Zhuo-hua.Machine learning research and design of algorithm Connect6 game system[J].Journal of Shaoguan University(Social Science Edition),2014(10):17-22.
Authors:YU Jiang-ming  YUAN Bin-jie  HE Can-hui  DUAN Zhuo-hua
Institution:(Institute of Computer Science, Shaoguan university, Shaoguan 512005, Guangdong, China)
Abstract:This article is aimed to analyze Shaoguan University′s students who participatd in the national Com-puter Games finished. It briefly analyzed the system structure and some key opponents with a focus on the Connect6 for a further optimization. It also increases adaptive width adjustment on the MTD (f) algorithm and e-valuation function to increase TD_BP on self-learning algorithm which would strengthen system′s "thinking"ability.
Keywords:Connect6  computer game  evaluation function  opening data  TD_BP algorithm
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