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arXiv 1306.2141cs.LO
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度量时态逻辑的有界可变性

Bounded Variability of Metric Temporal Logic

Carlo A. Furia, Paola Spoletini

摘要:

以前的工作表明,推理与实时时序逻辑往往是简单的限制模型与有界的变化-其中不超过v事件可能会发生每V个时间单位,对于给定的v,V.推理公式与内在的有界的变化,可以采用更简单的技术,依赖于有界的变化,而不损失任何的一般性。那么,在算法上决定哪些公式具有内在的有限可变性的复杂性是什么呢?在本文中,我们研究的问题,参照度量时态逻辑(MTL)。我们证明了在稠密时间模型上,MTL公式的有界可变性是不可判定的,但其不可判定度低于一般稠密时间MTL可满足性。相反,在离散时间模型上,确定MTL有界可变性具有与可满足性相同的指数空间复杂度。为了补充这些负面的结果,我们还简要地讨论了小片段的MTL,更适合推理有界变异。

英文摘要:

Previous work has shown that reasoning with real-time temporal logics is often simpler when restricted to models with bounded variability---where no more than v events may occur every V time units, for given v, V. When reasoning about formulas with intrinsic bounded variability, one can employ the simpler techniques that rely on bounded variability, without any loss of generality. What is then the complexity of algorithmically deciding which formulas have intrinsic bounded variability? In this paper, we study the problem with reference to Metric Temporal Logic (MTL). We prove that deciding bounded variability of MTL formulas is undecidable over dense-time models, but with a undecidability degree lower than generic dense-time MTL satisfiability. Over discrete-time models, instead, deciding MTL bounded variability has the same exponential-space complexity as satisfiability. To complement these negative results, we also briefly discuss small fragments of MTL that are more amenable to reasoning about bounded variability.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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