{"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}
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.