Lazy narrowing with simplification

Michael Hanus
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引用次数: 18

Abstract

Languages that integrate functional and logic programming styles with a complete operational semantics are based on narrowing. In order to avoid useless computations, lazy narrowing strategies have been proposed in the past. This paper presents an improvement of lazy narrowing by incorporating deterministic simplification steps into lazy narrowing derivations. These simplification steps reduce the search space so that in some cases infinite search spaces are reduced to finite ones. We consider two classes of programs where this strategy can be applied. Firstly, we show soundness and completeness of our strategy for functional logic programs based on ground confluent and terminating rewrite systems. Then, we show similar results for constructor-based weakly orthogonal (not necessarily terminating) rewrite systems. Finally, we demonstrate the improved operational behavior by means of several examples. Since most functional logic languages are based on programs belonging to one of these classes, our result is a significant step to improve the operational semantics of existing functional logic languages.

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使用简化的惰性窄化
将函数式和逻辑编程风格与完整的操作语义集成在一起的语言是基于窄化的。为了避免无用的计算,过去提出了惰性缩小策略。本文提出了一种将确定性简化步骤纳入惰性狭窄推导的改进方法。这些简化步骤减少了搜索空间,因此在某些情况下,无限搜索空间被简化为有限搜索空间。我们考虑两类可以应用此策略的程序。首先,我们展示了基于地面融合和终止重写系统的功能逻辑程序策略的合理性和完整性。然后,我们展示了基于构造函数的弱正交(不一定终止)重写系统的类似结果。最后,通过几个实例说明了改进后的操作行为。由于大多数函数式逻辑语言都是基于属于这些类之一的程序,因此我们的结果是改进现有函数式逻辑语言的操作语义的重要一步。
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