MIT Hardness Group, Della Hendrickson, Andy Tockman
{"title":"Complexity of Planar Graph Orientation Consistency, Promise-Inference, and Uniqueness, with Applications to Minesweeper Variants","authors":"MIT Hardness Group, Della Hendrickson, Andy Tockman","doi":"arxiv-2404.14519","DOIUrl":null,"url":null,"abstract":"We study three problems related to the computational complexity of the\npopular game Minesweeper. The first is consistency: given a set of clues, is\nthere any arrangement of mines that satisfies it? This problem has been known\nto be NP-complete since 2000, but our framework proves it as a side effect. The\nsecond is inference: given a set of clues, is there any cell that the player\ncan prove is safe? The coNP-completeness of this problem has been in the\nliterature since 2011, but we discovered a flaw that we believe is present in\nall published results, and we provide a fixed proof. Finally, the third is\nsolvability: given the full state of a Minesweeper game, can the player win the\ngame by safely clicking all non-mine cells? This problem has not yet been\nstudied, and we prove that it is coNP-complete.","PeriodicalId":501024,"journal":{"name":"arXiv - CS - Computational Complexity","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computational Complexity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2404.14519","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
We study three problems related to the computational complexity of the
popular game Minesweeper. The first is consistency: given a set of clues, is
there any arrangement of mines that satisfies it? This problem has been known
to be NP-complete since 2000, but our framework proves it as a side effect. The
second is inference: given a set of clues, is there any cell that the player
can prove is safe? The coNP-completeness of this problem has been in the
literature since 2011, but we discovered a flaw that we believe is present in
all published results, and we provide a fixed proof. Finally, the third is
solvability: given the full state of a Minesweeper game, can the player win the
game by safely clicking all non-mine cells? This problem has not yet been
studied, and we prove that it is coNP-complete.