A Lower-Bound for Answer Set Solver Computation

S. Costantini, A. Provetti
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Abstract

We build upon recent work by Lierler that denes an abstract framework for describing the algorithm underlying many of the existing answer set solvers (for answer set programs, based upon the Answer Set Seman- tics), considering in particular Smodels and SUP. We dene a particular class of programs, called AOH, and prove that the computation that the abstract solver performs actually represents a lower bound for deciding inconsis- tency of logic programs under the Answer Set Semantics. The main result is that for a given AOH program with n atoms, an algorithm that conforms to Lierler's abstract model needs ( n) steps before exiting with failure (no answer set exists). We argue that our result holds for every logic program that, like AOH programs, contains cyclic denitions and rules that can be seen as connecting the cycles.
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答案集求解器计算的下界
我们以Lierler最近的工作为基础,提出了一个抽象框架,用于描述许多现有答案集求解器(基于答案集语义的答案集程序)的算法,特别考虑了模型和SUP。我们提出了一类特定的程序,称为AOH,并证明抽象求解器执行的计算实际上代表了在答案集语义下决定逻辑程序不一致性的下界。主要结果是,对于给定的具有n个原子的AOH程序,符合Lierler抽象模型的算法在失败(不存在答案集)之前需要(n)个步骤。我们认为,我们的结果适用于每一个逻辑程序,如AOH程序,包含循环定义和规则,可以被视为连接循环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Modelling autonomic dataspaces using answer sets A Lower-Bound for Answer Set Solver Computation
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