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Holistic deductive framework theorem proving based on standard contradiction separation for first-order logic

机译:基于标准矛盾分离的一阶逻辑整体演绎框架定理证明

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Nowadays, famous and powerful first-order logic automated theorem proving almost use saturation which called given-clause algorithm as the deductive framework. The given-clause algorithm is a divisional framework which divides the entire clauses into selected clause set and deductive clause set. It is efficient with large heuristic strategies and inference calculus. In this paper, we present a holistic deductive framework based on standard contradiction separation. The framework allows arbitrary clause to take part in deduction in the holistic clause set as many as possible which can take full advantage of synergetic effect between clauses. It is a multi-ary, dynamic, sound, complete deduction which can generate more new unit clauses as the goal. We implement the preliminary version of prover, it can find proofs in fewer inferential steps for some Mizar and TPTP problems under effective strategies. Related definitions and useful methods are proposed for programming search paths, avoiding repetition, simplifying clauses and the key strategies, they are contribute to finding proof more efficiently. Performance analysis and some conclusions are outlined at the end of this paper.
机译:如今,著名且功能强大的一阶逻辑自动定理证明几乎都使用饱和度,该饱和度称为给定子句算法作为演绎框架。给定子句算法是一个划分框架,它将整个子句分为选定子句集和演绎子句集。它具有大型启发式策略和推理演算,非常有效。在本文中,我们提出了一个基于标准矛盾分离的整体演绎框架。该框架允许任意子句尽可能多地参与整体子句集合的演绎,这可以充分利用子句之间的协同效应。它是一个多元的,动态的,合理的,完整的演绎,可以生成更多新的单位子句作为目标。我们实施证明者的初步版本,它可以在有效策略下以较少的推论步骤找到一些Mizar和TPTP问题的证明。提出了相关的定义和有用的方法,用于对搜索路径进行编程,避免重复,简化子句和关键策略,它们有助于更有效地查找证明。本文的最后概述了性能分析和一些结论。

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