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Finding Minimal Unsatisfiable Subformulae in Satisfiability Instances

机译:在可满足性实例中查找最小的不满足子公式

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摘要

A minimal unsatisfiable subformula (MUS) of a given CNF is a set of clauses which is unsatisfiable, but becomes satisfiable as soon as we remove any of its clauses. In practical scenarios it is often useful to know, in addition to the unsolvability of an instance, which parts of the instance cause the unsolvability. An approach is here proposed to the problem of automatic detection of such a subformula, with the double aim of finding quickly a small-sized one. We make use of an adaptive technique in order to rapidly select an unsatisfiable subformula which is a good approximation of a MUS. Hard unsatisfiable instances can be reduced to remarkably smaller problems, and hence efficiently solved, through this approach.
机译:给定CNF的最小不满足子公式(MUS)是一组不能满足的子句,但是只要我们删除其任何子句就可以满足。在实际情况下,除了实例的不可解性之外,了解实例的哪些部分会导致不可解性通常也很有用。在此提出一种方法来自动检测这种子公式,其双重目的是快速找到一个小的子公式。我们利用一种自适应技术来快速选择一个不满足要求的子公式,它是MUS的一个很好的近似值。硬性无法满足的情况可以通过这种方法减少为明显较小的问题,并因此得到有效解决。

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