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Logics for some dynamic spaces-I

机译:一些动态空间的逻辑-I

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We study a collection of logics L(T, I) with models based on 'dynamic I spaces', which are finite sequences of Kripke I frames with a common domain, I being any of the normal modal systems K, K4, T, B, S4, KTB, KB4 and S5. The language of L(T, I) has modal connectives for 'possibility' and ` necessity', as well as temporal connectives. The semantics of L(T, I) can be determined through a kind of fibring over a combination of temporal and Kripke I frames corresponding to the modal system I. This article presents, in a schematic manner, tableau-based proof procedures for this class of logics. Comparisons with closely related systems are made. We briefly look at possible applications of the logics as well. The study, in fact, generalizes the work on the logic temporal rough logic (TRL) by Banerjee and Khan [2] for Pawlak's rough set theory (RST), models of which are based on dynamic S5 spaces. The motivation behind TRL was to capture reasoning with rough sets in the scenario of a knowledge base evolving with time, when the latter is represented by a partition on the domain of discourse. RST has been generalized in many ways over the years, in particular to situations when the knowledge base is not necessarily represented by an equivalence relation, but, for instance, by tolerances or pre-orders. The logics presented here enable one to address reasoning with concepts in the context of such generalized knowledge bases evolving with time.
机译:我们使用基于“动态I空间”的模型研究逻辑L(T,I)的集合,这些模型是具有公共域的Kripke I框架的有限序列,I是任何正常模态系统K,K4,T,B ,S4,KTB,KB4和S5。 L(T,I)的语言具有“可能”和“必要性”的模态连接词以及时间连接词。 L(T,I)的语义可以通过在对应于模态系统I的时间帧和Kripke I帧的组合上纤维化来确定。本文以示意图的方式给出了此类的基于表格的证明程序逻辑。与紧密相关的系统进行了比较。我们还将简要介绍逻辑的可能应用。实际上,这项研究概括了Banerjee和Khan [2]针对Pawlak的粗糙集理论(RST)的逻辑时间粗糙逻辑(TRL)的工作,该模型的模型基于动态S5空间。 TRL背后的动机是,在知识库随着时间而演变的情况下,用粗糙集来捕获推理,而后者则由话语领域的划分来表示。多年来,RST已以多种方式推广,特别是当知识库不一定由等价关系表示,而是例如以公差或顺序表示时。在此提出的逻辑使人们能够在这种随时间而发展的通用知识库的背景下用概念解决推理。

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