A clausal resolution method for extended computation tree logic ECTL

A. Bolotov, A. Basukoski
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引用次数: 6

Abstract

A temporal clausal resolution method was originally developed for linear time temporal logic and further extended to the branching-time framework of Computation Tree Logic (CTL). In this paper, following our general idea to expand the applicability of this efficient method to more expressive formalisms useful in a variety of applications in computer science and AI requiring branching time logics, we define a clausal resolution technique for Extended Computation Tree Logic (ECTL). The branching-time temporal logic ECTL is strictly more expressive than CTL, in allowing fairness operators. The key elements of the resolution method for ECTL, namely the clausal normal form, the concepts of step resolution and a temporal resolution, are introduced and justified with respect to this new framework. Although in developing these components we incorporate many of the techniques defined for CTL, we need novel mechanisms in order to capture fairness together with the limit closure property of the underlying tree models. We accompany our presentation of the relevant techniques by examples of the application of the temporal resolution method. Finally, we provide a correctness argument and consider future work discussing an extension of the method yet further, to the logic CTL, the most powerful logic of this class.
扩展计算树逻辑ECTL的子句解析方法
提出了一种求解线性时间时间逻辑的时间子句解析方法,并将其扩展到计算树逻辑的分支时间框架中。在本文中,遵循我们的总体思路,将这种有效方法的适用性扩展到在需要分支时间逻辑的计算机科学和人工智能的各种应用中有用的更具表现力的形式,我们定义了扩展计算树逻辑(ECTL)的子句解析技术。在允许公平运算符方面,分支时间时态逻辑ECTL严格地比CTL更具表现力。ECTL解决方法的关键要素,即条款范式,步骤解决和时间解决的概念,被介绍和证明相对于这个新的框架。尽管在开发这些组件时,我们结合了许多为CTL定义的技术,但我们需要新的机制来捕获公平性以及底层树模型的极限闭包属性。我们通过时间分辨率方法的应用实例来介绍相关技术。最后,我们提供了一个正确性论证,并考虑未来的工作,进一步讨论该方法的扩展,到逻辑CTL,这是该类中最强大的逻辑。
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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