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Generalising and Unifying SLUR and Unit-Refutation Completeness

机译:归纳和统一SLUR和单位引用完整性

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The class SLUR (Single Lookahead Unit Resolution) was introduced in [22] as an umbrella class for efficient SAT solving. [7,2] extended this class in various ways to hierarchies covering all of CNF (all clause-sets). We introduce a hierarchy SLUR_k which we argue is the natural "limit" of such approaches. The second source for our investigations is the class UC of unit-refutation complete clause-sets introduced in [10]. Via the theory of (tree-resolution based) "hardness" of clause-sets as developed in [19,20,1] we obtain a natural generalisation UC_k, containing those clause-sets which are "unit-refutation complete of level k", which is the same as having hardness at most k. Utilising the strong connections to (tree-)resolution complexity and (nested) input resolution, we develop fundamental methods for the determination of hardness (the level k in UC_k). A fundamental insight now is that SLUR_k = UC_k holds for all k. We can thus exploit both streams of intuitions and methods for the investigations of these hierarchies. As an application we can easily show that the hierarchies from [7,2] are strongly subsumed by SLUR_k. We conclude with a discussion of open problems and future directions.
机译:[22]引入了SLUR类(单前瞻性单位分辨率),作为有效解决SAT问题的总体类。 [7,2]以各种方式将此类扩展到涵盖所有CNF(所有子句集)的层次结构。我们介绍了一个层次结构SLUR_k,我们认为这是这种方法的自然“极限”。我们研究的第二个来源是[10]中引入的单位反驳完整条款集的UC类。通过[19,20,1]中开发的子句集(基于树分辨率)“硬度”的理论,我们获得了自然概括UC_k,其中包含那些“级别为k的单位反驳完备”的子句集。 ,与硬度最大为k的硬度相同。利用与(树)分辨率复杂度和(嵌套)输入分辨率的紧密联系,我们开发了确定硬度(UC_k中的k级)的基本方法。现在的基本见解是SLUR_k = UC_k对于所有k成立。因此,我们可以利用直觉流和方法来研究这些层次结构。作为一个应用程序,我们可以轻松地显示[7,2]中的层次结构被SLUR_k强烈地包含了。最后,我们讨论了未解决的问题和未来的方向。

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