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

Feng Cao, Yang Xu, Jian Zhong, Guanfeng Wu
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引用次数: 1

Abstract

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.
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基于标准矛盾分离的一阶逻辑整体演绎框架定理证明
目前著名的、功能强大的一阶逻辑自动定理证明,几乎都是用饱和即给定子句算法作为演绎框架的。给定子句算法是一种将整个子句划分为选择子句集和演绎子句集的分法框架。对于大型启发式策略和推理演算,它是有效的。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的演绎,充分发挥子句之间的协同效应。它是一个多元的、动态的、健全的、完整的演绎过程,可以产生更多新的单元子句作为目标。我们实现了初步版本的证明器,它可以在有效的策略下以较少的推理步骤找到一些Mizar和TPTP问题的证明。给出了搜索路径规划、避免重复、简化子句和关键策略的相关定义和实用方法,有助于提高证明效率。本文最后对系统进行了性能分析并得出了一些结论。
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