[1]张培刚,陈克训.使用不同的博弈树搜索算法解决计算机围棋的吃子问题[J].智能系统学报,2007,2(3):84-90.
ZHANG,Pei-gang,CHEN Keh-hsun.Using Different Search Algorithms to Solve Computer Go Capturing Problems[J].CAAI Transactions on Intelligent Systems,2007,2(3):84-90.
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第3期
页码:
84-90
栏目:
学术论文—人工智能基础
出版日期:
2007-06-25
- Title:
-
Using Different Search Algorithms to Solve Computer Go Capturing Problems
- 文章编号:
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1673-4785(2007)03-0067-07
- 作者:
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张培刚,陈克训
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北卡莱罗纳大学夏洛特分校计算机系,Charlotte, NC 28223美国
- Author(s):
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ZHANG, Pei-gang ,CHEN Keh-hsun
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Department of Computer Science, University of North Carolina a t Charlotte, Charlotte, NC 28223, USA
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- 关键词:
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计算机围棋; 博弈树搜索; 启发式搜索; AlphaBeta搜索; proofnumber搜索; 吃子问题
- Keywords:
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Computer Go; Game Tree Search; Heuristic Search; AlphaBeta; Proofnu mber Search; Block Capturing.
- 分类号:
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TP18
- 文献标志码:
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A
- 摘要:
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使用AlphaBeta搜索和proofnumber (pn) 搜索解决计算机围棋的吃子问题.对吃子问题形式化并给出了简单有效的评估函数.AlphaBeta搜索使用了包括置换表在内的各种扩展技术.Pn搜索使用了包括dfpn在内的4种变体.研究结果显示,对于解决吃子问题pn搜索优于AlphaBeta搜索.并且搜索过程中所产生的数据的一些模式可以帮助在结果未知的情况下对结果进行预测.所设计的算法可以用于解决单独的吃子问题或者计算机围棋比赛中的吃子计算.
- Abstract:
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Capturing problem is an important tactical subprobl e m in computer Go. We used AlphaBeta (pn) search and proofnumber (pn) search t o solve computer Go capturing problems with same evalutaion function. The perfor mance of the capturing algorithm is favorable and practical. The algorithm could be used to solve post game capturing problems or to perform real time capturing calculations in computer Go tournament matches. Our results show that pnsearc h is superior than (pn)search on solving capturing problems. And we can find som e patterns in the searching process that could help us to predict the search out come when the outcome is still unknown. Our work also provides the framwork that could be used to solve other computer Go subproblems and other games.
更新日期/Last Update:
2009-05-07