URSA: A System for Uniform Reduction to SAT

IF 0.6 4区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS Logical Methods in Computer Science Pub Date : 2010-12-06 DOI:10.2168/LMCS-8(3:30)2012
Predrag Janičić
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引用次数: 18

Abstract

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.
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统一还原到SAT的系统
有大量来自不同领域的问题,可以通过将其简化为SAT来解决。然而,对于许多应用来说,转换为SAT是由专门的、针对问题的工具来完成的。在本文中,我们描述了一种新的系统,通过将一类广泛的问题简化为sat来统一求解它们。该系统使用了一种新的规范语言URSA,它结合了命令式和声明式编程范式。对SAT的简化是由规范语言的语义精确定义的。该方法的范围很广(例如,许多np完全问题可以简单地指定并由系统解决),并且存在易于通过所提出的系统解决的问题,而使用其他编程语言或约束编程系统很难解决。因此,该系统不仅可以被视为通过将问题简化为SAT来解决问题的工具,而且可以被视为通用的约束求解系统(用于有限域)。在本文中,我们还描述了所描述方法的开源实现。实验表明,该系统与最先进的相关建模系统相比具有竞争力。
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来源期刊
Logical Methods in Computer Science
Logical Methods in Computer Science 工程技术-计算机:理论方法
CiteScore
1.80
自引率
0.00%
发文量
105
审稿时长
6-12 weeks
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.
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