定时递归CTL的尾部递归片段

IF 0.8 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Florian Bruse, Martin Lange
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引用次数: 0

摘要

定时递归CTL(TRCTL)最近被提出作为众所周知的分支时间逻辑CTL的两个扩展的合并:定时CTL一方面在像时间自动机这样的实时系统上被解释,而递归CTL(RecCTL)另一方面通过引入递归算子获得高表达性。已知对结果逻辑的模型检查是2-EXPTIME-完全的。本文的目的是研究在不损失太多表达能力的情况下获得较低复杂度的片段的可能性。它是通过一种称为“尾递归性”的句法特性获得的,该特性限制了递归公式的构建方式。众所周知,在不计时设置中,这种限制可以将模型检查的复杂性降低半个指数。我们表明,这在实时世界中也有效:TRCTL的尾部递归片段的模型检查在其数据复杂性方面已经是EXPSPACE完全的,即对于固定公式。上界是通过区域图上的模型检查过程获得的,该过程将标准的不计时结构与定制算法相结合。下限是通过从合适的平铺问题的约简来建立的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The tail-recursive fragment of timed recursive CTL

Timed Recursive CTL (TRCTL) was recently proposed as a merger of two extensions of the well-known branching-time logic CTL: Timed CTL on one hand is interpreted over real-time systems like timed automata, and Recursive CTL (RecCTL) on the other hand obtains high expressiveness through the introduction of a recursion operator. Model checking for the resulting logic is known to be 2-EXPTIME-complete.

The aim of this paper is to investigate the possibility to obtain a fragment of lower complexity without losing too much expressive power. It is obtained by a syntactic property called “tail-recursiveness” that restricts the way that recursive formulas can be built. This restriction is known to decrease the complexity of model checking by half an exponential in the untimed setting. We show that this also works in the real-time world: model checking for the tail-recursive fragment of TRCTL is EXPSPACE-complete already in its data complexity, i.e. for a fixed formula. The upper bound is obtained via a model-checking procedure on region graphs combining standard untiming constructions with a tailored algorithm. The lower bound is established by a reduction from a suitable tiling problem.

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来源期刊
Information and Computation
Information and Computation 工程技术-计算机:理论方法
CiteScore
2.30
自引率
0.00%
发文量
119
审稿时长
140 days
期刊介绍: Information and Computation welcomes original papers in all areas of theoretical computer science and computational applications of information theory. Survey articles of exceptional quality will also be considered. Particularly welcome are papers contributing new results in active theoretical areas such as -Biological computation and computational biology- Computational complexity- Computer theorem-proving- Concurrency and distributed process theory- Cryptographic theory- Data base theory- Decision problems in logic- Design and analysis of algorithms- Discrete optimization and mathematical programming- Inductive inference and learning theory- Logic & constraint programming- Program verification & model checking- Probabilistic & Quantum computation- Semantics of programming languages- Symbolic computation, lambda calculus, and rewriting systems- Types and typechecking
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