Implementing conditional term rewriting by graph rewriting

IF 1 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Theoretical Computer Science Pub Date : 2001-07-06 Epub Date: 2001-06-15 DOI:10.1016/S0304-3975(00)00209-7
Enno Ohlebusch
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引用次数: 6

Abstract

For reasons of efficiency, term rewriting is usually implemented by graph rewriting. Barendregt et al. showed that graph rewriting is a sound and complete implementation of (almost) orthogonal term rewriting systems. Their result was strengthened by Kennaway et al. who showed that graph rewriting is adequate for simulating term rewriting. In this paper, we extend the aforementioned results to a class of conditional term rewriting systems which plays a key role in the integration of functional and logic programming. In these systems extra variables are allowed in conditions and right-hand sides of rules. Moreover, it is shown that orthogonal conditional rules give rise to a subcommutative conditional graph rewrite relation. This implies that the graph rewrite relation is level-confluent.

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通过图重写实现条件项重写
出于效率的考虑,术语重写通常通过图重写来实现。Barendregt等人表明,图重写是(几乎)正交项重写系统的一个健全和完整的实现。Kennaway等人加强了他们的结果,他们表明图形重写足以模拟术语重写。在本文中,我们将上述结果推广到一类条件项重写系统,它在函数和逻辑程序设计的集成中起着关键作用。在这些系统中,在条件和规则的右边允许额外的变量。此外,还证明了正交条件规则产生了次交换条件图重写关系。这意味着图重写关系是水平合流的。
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来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
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