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Enhancing Global SLS-Resolution with Loop Cutting and Tabling Mechanisms

Yi-Dong Shen·Jia-Huai You·Li-Yan Yuan
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Abstract

Global SLS-resolution is a well-known procedural semantics for top-down computation of queries under the well-founded model. It inherits from SLDNF-resolution the {\em linearity} property of derivations, which makes it easy and efficient to implement using a simple stack-based memory structure. However, like SLDNF-resolution it suffers from the problem of infinite loops and redundant computations. To resolve this problem, in this paper we develop a new procedural semantics, called {\em SLTNF-resolution}, by enhancing Global SLS-resolution with loop cutting and tabling mechanisms. SLTNF-resolution is sound and complete w.r.t. the well-founded semantics for logic programs with the bounded-term-size property, and is superior to existing linear tabling procedural semantics such as SLT-resolution.

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Yi-Dong Shen, Jia-Huai You, Li-Yan Yuan. 2005-07-14. Enhancing Global SLS-Resolution with Loop Cutting and Tabling Mechanisms. https://arxiv.org/abs/cs/0507035

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