逻辑谜题的演绎搜索

C. Browne
{"title":"逻辑谜题的演绎搜索","authors":"C. Browne","doi":"10.1109/CIG.2013.6633649","DOIUrl":null,"url":null,"abstract":"Deductive search (DS) is a breadth-first, depth-limited propagation scheme for the constraint-based solution of deduction puzzles, using simple logic operations found in standard constraint satisfaction solvers. It attempts to emulate the processing limits experienced by human solvers, and, to some extent, the process by which they solve such problems. Any solution deduced by DS is guaranteed to be correct and unique. Further, it provides an estimate of the deducibility of a given problem for human solvers and offers new ways of understanding deduction puzzles. Its performance is tested on a number of problem domains including Japanese logic puzzles, a traditional logic puzzle, and a geometric placement puzzle.","PeriodicalId":158902,"journal":{"name":"2013 IEEE Conference on Computational Inteligence in Games (CIG)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Deductive search for logic puzzles\",\"authors\":\"C. Browne\",\"doi\":\"10.1109/CIG.2013.6633649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deductive search (DS) is a breadth-first, depth-limited propagation scheme for the constraint-based solution of deduction puzzles, using simple logic operations found in standard constraint satisfaction solvers. It attempts to emulate the processing limits experienced by human solvers, and, to some extent, the process by which they solve such problems. Any solution deduced by DS is guaranteed to be correct and unique. Further, it provides an estimate of the deducibility of a given problem for human solvers and offers new ways of understanding deduction puzzles. Its performance is tested on a number of problem domains including Japanese logic puzzles, a traditional logic puzzle, and a geometric placement puzzle.\",\"PeriodicalId\":158902,\"journal\":{\"name\":\"2013 IEEE Conference on Computational Inteligence in Games (CIG)\",\"volume\":\"203 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Conference on Computational Inteligence in Games (CIG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIG.2013.6633649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Conference on Computational Inteligence in Games (CIG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIG.2013.6633649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

摘要

演绎搜索(DS)是一种宽度优先,深度限制的传播方案,用于基于约束的演绎谜题解,使用标准约束满足解中发现的简单逻辑运算。它试图模拟人类求解者所经历的处理极限,并在某种程度上模拟他们解决此类问题的过程。任何由DS推导出的解都保证是正确的和唯一的。此外,它为人类解决者提供了对给定问题的可演绎性的估计,并提供了理解演绎谜题的新方法。它的性能在许多问题领域进行了测试,包括日本逻辑谜题、传统逻辑谜题和几何布局谜题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deductive search for logic puzzles
Deductive search (DS) is a breadth-first, depth-limited propagation scheme for the constraint-based solution of deduction puzzles, using simple logic operations found in standard constraint satisfaction solvers. It attempts to emulate the processing limits experienced by human solvers, and, to some extent, the process by which they solve such problems. Any solution deduced by DS is guaranteed to be correct and unique. Further, it provides an estimate of the deducibility of a given problem for human solvers and offers new ways of understanding deduction puzzles. Its performance is tested on a number of problem domains including Japanese logic puzzles, a traditional logic puzzle, and a geometric placement puzzle.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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