The importance of forcing and tree search in Qubic

ACM-SE 14 Pub Date : 1976-04-22 DOI:10.1145/503561.503578
S. F. Butler, Robert G. Schlee
{"title":"The importance of forcing and tree search in Qubic","authors":"S. F. Butler, Robert G. Schlee","doi":"10.1145/503561.503578","DOIUrl":null,"url":null,"abstract":"Qubic, also called three dimensional Tic-Tac-Toe, provides a good environment for developing and testing different concepts of heuristic programming and game theory. Because Qubic is a simple game one can minimize the task of learning the rules of the game as one must do in Chess or another more complex game; however, one should realize that Qubic is not a trivial game. It is not known if the person who moves first can win every game (has a win strategy) or tie every game (has a draw strategy). Citrenbaum [in 1] claims that a draw strategy exists for the game while Gammill [1] claims that a win strategy exists. The current knowledge about Qubic supports both sides. This paper proposes a solution to the game by combining the two procedures of forcing and tree search into a single strategy.","PeriodicalId":151957,"journal":{"name":"ACM-SE 14","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1976-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM-SE 14","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/503561.503578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Qubic, also called three dimensional Tic-Tac-Toe, provides a good environment for developing and testing different concepts of heuristic programming and game theory. Because Qubic is a simple game one can minimize the task of learning the rules of the game as one must do in Chess or another more complex game; however, one should realize that Qubic is not a trivial game. It is not known if the person who moves first can win every game (has a win strategy) or tie every game (has a draw strategy). Citrenbaum [in 1] claims that a draw strategy exists for the game while Gammill [1] claims that a win strategy exists. The current knowledge about Qubic supports both sides. This paper proposes a solution to the game by combining the two procedures of forcing and tree search into a single strategy.
在Qubic中强制和树搜索的重要性
Qubic,也被称为三维井字游戏,为开发和测试启发式编程和博弈论的不同概念提供了一个良好的环境。因为《Qubic》是一款简单的游戏,所以玩家可以最小化学习游戏规则的任务,就像在象棋或其他更复杂的游戏中那样;然而,人们应该意识到Qubic不是一个微不足道的游戏。我们不知道先走一步的人是每场比赛都能赢(有获胜策略)还是平局(有平局策略)。Citrenbaum [in 1]声称游戏中存在平局策略,而Gammill[1]则声称存在获胜策略。目前关于Qubic的知识支持双方。本文提出了一种将强制和树搜索两个过程结合为一个策略的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信