{"title":"统一还原到SAT的系统","authors":"Predrag Janičić","doi":"10.2168/LMCS-8(3:30)2012","DOIUrl":null,"url":null,"abstract":"There are a huge number of problems, from various areas, being solved by\nreducing them to SAT. However, for many applications, translation into SAT is\nperformed by specialized, problem-specific tools. In this paper we describe a\nnew system for uniform solving of a wide class of problems by reducing them to\nSAT. The system uses a new specification language URSA that combines imperative\nand declarative programming paradigms. The reduction to SAT is defined\nprecisely by the semantics of the specification language. The domain of the\napproach is wide (e.g., many NP-complete problems can be simply specified and\nthen solved by the system) and there are problems easily solvable by the\nproposed system, while they can be hardly solved by using other programming\nlanguages or constraint programming systems. So, the system can be seen not\nonly as a tool for solving problems by reducing them to SAT, but also as a\ngeneral-purpose constraint solving system (for finite domains). In this paper,\nwe also describe an open-source implementation of the described approach. The\nperformed experiments suggest that the system is competitive to\nstate-of-the-art related modelling systems.","PeriodicalId":49904,"journal":{"name":"Logical Methods in Computer Science","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"URSA: A System for Uniform Reduction to SAT\",\"authors\":\"Predrag Janičić\",\"doi\":\"10.2168/LMCS-8(3:30)2012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are a huge number of problems, from various areas, being solved by\\nreducing them to SAT. However, for many applications, translation into SAT is\\nperformed by specialized, problem-specific tools. In this paper we describe a\\nnew system for uniform solving of a wide class of problems by reducing them to\\nSAT. The system uses a new specification language URSA that combines imperative\\nand declarative programming paradigms. The reduction to SAT is defined\\nprecisely by the semantics of the specification language. The domain of the\\napproach is wide (e.g., many NP-complete problems can be simply specified and\\nthen solved by the system) and there are problems easily solvable by the\\nproposed system, while they can be hardly solved by using other programming\\nlanguages or constraint programming systems. So, the system can be seen not\\nonly as a tool for solving problems by reducing them to SAT, but also as a\\ngeneral-purpose constraint solving system (for finite domains). In this paper,\\nwe also describe an open-source implementation of the described approach. The\\nperformed experiments suggest that the system is competitive to\\nstate-of-the-art related modelling systems.\",\"PeriodicalId\":49904,\"journal\":{\"name\":\"Logical Methods in Computer Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2010-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Logical Methods in Computer Science\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.2168/LMCS-8(3:30)2012\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Logical Methods in Computer Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.2168/LMCS-8(3:30)2012","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
There are a huge number of problems, from various areas, being solved by
reducing them to SAT. However, for many applications, translation into SAT is
performed by specialized, problem-specific tools. In this paper we describe a
new system for uniform solving of a wide class of problems by reducing them to
SAT. The system uses a new specification language URSA that combines imperative
and declarative programming paradigms. The reduction to SAT is defined
precisely by the semantics of the specification language. The domain of the
approach is wide (e.g., many NP-complete problems can be simply specified and
then solved by the system) and there are problems easily solvable by the
proposed system, while they can be hardly solved by using other programming
languages or constraint programming systems. So, the system can be seen not
only as a tool for solving problems by reducing them to SAT, but also as a
general-purpose constraint solving system (for finite domains). In this paper,
we also describe an open-source implementation of the described approach. The
performed experiments suggest that the system is competitive to
state-of-the-art related modelling systems.
期刊介绍:
Logical Methods in Computer Science is a fully refereed, open access, free, electronic journal. It welcomes papers on theoretical and practical areas in computer science involving logical methods, taken in a broad sense; some particular areas within its scope are listed below. Papers are refereed in the traditional way, with two or more referees per paper. Copyright is retained by the author.
Topics of Logical Methods in Computer Science:
Algebraic methods
Automata and logic
Automated deduction
Categorical models and logic
Coalgebraic methods
Computability and Logic
Computer-aided verification
Concurrency theory
Constraint programming
Cyber-physical systems
Database theory
Defeasible reasoning
Domain theory
Emerging topics: Computational systems in biology
Emerging topics: Quantum computation and logic
Finite model theory
Formalized mathematics
Functional programming and lambda calculus
Inductive logic and learning
Interactive proof checking
Logic and algorithms
Logic and complexity
Logic and games
Logic and probability
Logic for knowledge representation
Logic programming
Logics of programs
Modal and temporal logics
Program analysis and type checking
Program development and specification
Proof complexity
Real time and hybrid systems
Reasoning about actions and planning
Satisfiability
Security
Semantics of programming languages
Term rewriting and equational logic
Type theory and constructive mathematics.