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首页> 外文期刊>Mathematical structures in computer science >Convergence in infinitary term graph rewriting systems is simple
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Convergence in infinitary term graph rewriting systems is simple

机译:不定式术语图重写系统中的收敛很简单

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摘要

Term graph rewriting provides a formalism for implementing term rewriting in an efficient manner by emulating duplication via sharing. Infinitary term rewriting has been introduced to study infinite term reduction sequences. Such infinite reductions can be used to model non-strict evaluation. In this paper, we unify term graph rewriting and infinitary term rewriting thereby addressing both components of lazy evaluation: non-strictness and sharing. In contrast to previous attempts to formalise infinitary term graph rewriting, our approach is based on a simple and natural generalisation of the modes of convergence of infinitary term rewriting. We show that this new approach is better suited for infinitary term graph rewriting as it is simpler and more general. The latter is demonstrated by the fact that our notions of convergence give rise to two independent canonical and exhaustive constructions of infinite term graphs from finite term graphs via metric and ideal completion. In addition, we show that our notions of convergence on term graphs are sound w.r.t. the ones employed in infinitary term rewriting in the sense that convergence is preserved by unravelling term graphs to terms. Moreover, the resulting infinitary term graph calculi provide a unified framework for both infinitary term rewriting and term graph rewriting, which makes it possible to study the correspondences between these two worlds more closely.
机译:术语图重写提供了一种形式形式,用于通过共享仿真来复制,从而以有效的方式实现术语重写。引入了不定式词改写来研究无限量词归约序列。这样的无限减少可用于建模非严格评估。在本文中,我们将术语图重写和不定式术语重写统一起来,从而解决了惰性评估的两个组成部分:非严格性和共享性。与先前试图对非限定词图重写进行形式化的尝试相反,我们的方法基于对非限定词重写的收敛模式的简单自然的概括。我们展示了这种新方法更简单,更通用,它更适合于无限期术语图重写。后者由以下事实证明:我们的收敛概念通过度量和理想完成从有限项图产生了两个独立的规范和穷举式的无限项图构造。此外,我们证明了在术语图上的收敛概念是合理的。在通过将术语图分解为术语来保持收敛的意义上,用于不定式术语重写的术语。此外,最终的非限定词图计算为非限定词重写和术语图重写提供了一个统一的框架,这使得更紧密地研究这两个世界之间的对应关系成为可能。

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