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Reduction of Resolution Refutations and Interpolants via Subsumption

机译:通过包含来减少分辨率引用和内插

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Propositional resolution proofs and interpolants derived from them are widely used in automated verification and circuit synthesis. There is a broad consensus that "small is beautiful" - small proofs and interpolants lead to concise abstractions in verification and compact designs in synthesis. Contemporary proof reduction techniques either minimise the proof during construction, or perform a post-hoc transformation of a given resolution proof. We focus on the latter class and present a subsumption-based proof reduction algorithm that extends existing single-pass analyses and relies on a meet-over-all-paths analysis to identify redundant resolution steps and clauses. We show that smaller refutations do not necessarily entail smaller interpolants, and use labelled interpolation systems to generalise our reduction approach to interpolants. Experimental results support the theoretical claims.
机译:命题分辨率证明和从中得出的内插词广泛用于自动验证和电路综合。人们普遍认为“小就是美”-小证明和内插法导致验证中的简洁抽象和综合中的紧凑设计。当代的证明减少技术或者在构造过程中使证明最小化,或者对给定的分辨率证明进行事后转换。我们将重点放在后一类上,并提出一种基于归类的证明减少算法,该算法扩展了现有的单遍分析,并依赖于所有路径相遇分析来识别冗余的解决步骤和条款。我们表明,较小的反驳并不一定需要较小的插值,而是使用标记的插值系统来概括我们对插值的归约方法。实验结果支持理论主张。

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