Automated Theorem Finding by Forward Deduction Based on the Semi-lattice Model of Formal Theory: A Case Study in NBG Set Theory

Hongbiao Gao, Y. Goto, Jingde Cheng
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引用次数: 1

Abstract

The problem of automated theorem finding is one of 33 basic research problems in automated reasoning which was originally proposed by Wos in 1988, and it is still an open problem. To solve the problem, a forward deduction approach based on the strong relevant logics was proposed. To verify the effectiveness of the approach, we tried to rediscover already known theorems in NBG set theory by using the approach, and succeeded in rediscovery of several known theorems. However, from the viewpoint of automated theorem finding, our method of the rediscovery is ad hoc, but not systematic. This paper proposes a systematic method based on the semi-lattice model of formal theory for deducing theorems and finding theorems which are two key phases of automated theorem finding. The paper presents a case study for automated theorem finding in NBG set theory and also shows some future research directions for automated theorem finding.
基于形式理论半格模型的正演自动定理发现&以NBG集合理论为例
自动定理发现问题是Wos于1988年提出的自动推理33个基础研究问题之一,至今仍是一个开放性问题。为了解决这一问题,提出了一种基于强相关逻辑的正向推导方法。为了验证该方法的有效性,我们尝试使用该方法重新发现NBG集合理论中已知的定理,并成功地重新发现了几个已知的定理。然而,从自动定理发现的角度来看,我们的重新发现方法是临时的,而不是系统的。本文提出了一种基于形式理论半格模型的系统的定理推导和定理查找方法,这是自动化定理查找的两个关键阶段。本文给出了NBG集合理论中自动定理查找的一个实例,并指出了自动定理查找的一些未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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