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arXiv 1701.04547cs.LO
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近似概率语境下互模拟与迹等价的关系(扩展版)

On the Relationship between Bisimulation and Trace Equivalence in an Approximate Probabilistic Context (Extended Version)

Gaoang Bian, Alessandro Abate

摘要:

这项工作介绍了一个概念的近似概率迹等价标记马尔可夫链,并将这个新的概念,已知的概念近似概率互模拟。特别是这项工作表明,后者的概念诱导一个严格的上限之间的近似有限的地平线的痕迹,所表示的总变化距离。因此,这项工作扩展了相应的结果,确切的概念和类似的结果,非概率模型。这个界限可以被用来关联在有界线性时间属性上的满意概率的接近程度,并且允许通过抽象对具体模型进行概率模型检验。的贡献集中在有限状态和不可数状态标记的马尔可夫链,并要求两个主要的应用:首先,它允许的上界的迹距离被确定为有限状态系统;其次,它可以被用来合成离散近似连续状态模型与任意精度。

英文摘要:

This work introduces a notion of approximate probabilistic trace equivalence for labelled Markov chains, and relates this new concept to the known notion of approximate probabilistic bisimulation. In particular this work shows that the latter notion induces a tight upper bound on the approximation between finite-horizon traces, as expressed by a total variation distance. As such, this work extends corresponding results for exact notions and analogous results for non-probabilistic models. This bound can be employed to relate the closeness in satisfaction probabilities over bounded linear-time properties, and allows for probabilistic model checking of concrete models via abstractions. The contribution focuses on both finite-state and uncountable-state labelled Markov chains, and claims two main applications: firstly, it allows an upper bound on the trace distance to be decided for finite state systems; secondly, it can be used to synthesise discrete approximations to continuous-state models with arbitrary precision.

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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