Non-clausal Multi-ary alpha-Generalized Resolution Principle for a Lattice-Valued First-Order Logic

Yang Xu, Jun Liu, Xingxing He, Xiaomei Zhong, Shuwei Chen
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引用次数: 3

Abstract

The present paper focuses on a resolution-based automated reasoning theory in a lattice-valued logic system with truth-values defined in a lattice-valued algebraic structure - lattice implication algebras (LIA) in order to handle automated deduction under an uncertain environment. Particularly, as a continuation and extension of the established work on binary resolution at a certain truth-value level α (called α-resolution), a non-clausal multi-ary α-generalized resolution principle and deduction are introduced in this paper for a lattice-valued first-order logic LF(X) based on LIA, which is essentially non-clausal generalized resolution avoiding the reduction to normal clausal form. Non-clausal multi-ary α-generalized resolution deduction in LF(X) is then proved to be sound and complete. The present work is expected to provide a theoretical foundation of more efficient resolution based automated reasoning in lattice-valued logic.
格值一阶逻辑的非子句多元α -广义分解原理
为了处理不确定环境下的自动推理,本文研究了格值逻辑系统中基于分辨率的自动推理理论,该系统的真值定义在格值代数结构-格蕴涵代数中。特别地,作为在一定真值水平α下二元分解(称为α-分解)的已有工作的延续和推广,本文引入了基于LIA的格值一阶逻辑LF(X)的非子句性多变量α-广义分解原理和推导,它本质上是一种避免了常规子句形式的非子句性广义分解。进而证明了LF(X)中的非子句多元α-广义分辨演绎是健全完备的。本研究有望为格值逻辑中更有效的基于分辨率的自动推理提供理论基础。
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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