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A clausal resolution method for extended computation tree logic ECTL

机译:扩展计算树逻辑ECTL的分类解决方法

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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.
机译:最初为线性时间时间逻辑开发了一种时间子句解决方法,并进一步扩展到了计算树逻辑(CTL)的分支时间框架。在本文中,我们遵循将这种有效方法的适用性扩展到在计算机科学和需要分支时间逻辑的AI的各种应用中有用的更具表达形式主义的一般思想,我们定义了扩展计算树逻辑(ECTL)的子句解析技术。分支时间时序逻辑ECTL在允许公平运算符方面严格比CTL更具表现力。针对此新框架,介绍并证明了ECTL解析方法的关键要素,即子句范式,分步解析和时间解析的概念。尽管在开发这些组件时,我们结合了许多为CTL定义的技术,但是我们需要新颖的机制来捕获公平性以及基础树模型的极限闭包特性。我们以时间分辨率方法的应用示例为例,介绍了相关技术。最后,我们提供一个正确性参数,并考虑将来的工作,进一步讨论该方法的扩展,以扩展到逻辑CTL(该类最强大的逻辑)。

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