关于一些简单概率逻辑的可满足性

Souymodip Chakraborty, J. Katoen
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引用次数: 13

摘要

本文证明了概率CTL的有界片段的可满足性问题(称为有界PCTL)和带概率量化的模态μ微积分在下模态上的扩展(称为PμTL)是可确定的。对于有界PCTL,我们给出了一个求解可满足性问题的nexp - time算法,并证明了该逻辑具有小模型性质,其中模型大小与公式中的概率界无关。证明了有界PCTL的一个简单子逻辑的可满足问题是pspace完全的。我们证明了PμTL具有小的模型性质,并证明了PμTL的可满足性问题可以采用2人奇偶对策的决策过程。这些结果表明,仅阈值>0和=1的PμTL和定性PCTL公式是不可比较的。与pctl相比,我们还建立了每一个可满足的pμ tl公式都有一个有理模型,一个只有有理概率的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Satisfiability of Some Simple Probabilistic Logics
This paper shows that the satisfiability problems for a bounded fragment of probabilistic CTL (called bounded PCTL) and an extension of the modal μ-calculus with probabilistic quantification over next-modalities (called PμTL) are decidable. For bounded PCTL we provide an NEXP-TIME-algorithm for the satisfiability problem and show that the logic has a small model property where the model size is independent from the probability bounds in the formula. We show that the satisfiability problem of a simple sub-logic of bounded PCTL is PSPACE-complete. We prove that PμTL has a small model property and that a decision procedure using 2 player parity games can be employed for the satisfiability problem of PμTL. These results imply that PμTL and qualitative PCTL formulas with only thresholds >0 and =1—are incomparable. We also establish that—in contrast to PCTL—every satisfiable PμTL-formula has a rational model, a model with rational probabilities only.
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