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Integrating Answer Set Reasoning with Constraint Solving Techniques

机译:将答案集推理与约束求解技术相集成

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The paper introduces a collection of knowledge representation languages, V(C), parametrised over a class C of constraints. V(C) is an extension of both CR-Prolog and CASP allowing the separation of a program into two parts: a regular program of CR-Prolog and a collection of denials whose bodies contain constraints from C with variables ranging over large domains. We study an instance AC_0 from this family where C is a collection of constraints of the form X - Y > K. We give brief implementation details of an algorithm computing the answer sets of programs of AC_0 which does not ground constraint variables and tightly couples the "classical" ASP algorithm with an algorithm checking consistency of difference constraints. We present several examples to show the methodology of representing knowledge in AC_0. The work makes it possible to solve problems which could not be solved by pure ASP or constraint solvers.
机译:本文介绍了在约束C类上参数化的知识表示语言V(C)的集合。 V(C)是CR-Prolog和CASP的扩展,允许将程序分为两部分:CR-Prolog的常规程序和拒绝的集合,这些拒绝的主体包含来自C的约束,并且变量范围较大。我们研究了一个来自该族的实例AC_0,其中C是形式为X-Y> K的约束的集合。 “经典” ASP算法,具有检查差异约束一致性的算法。我们提供了几个示例来展示在AC_0中表示知识的方法。这项工作使解决纯ASP或约束求解器无法解决的问题成为可能。

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