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COSMOS: A Statistical Model Checker for the Hybrid Automata Stochastic Logic

机译:COSMOS:混合自动机随机逻辑的统计模型检查器

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This tool paper introduces cosmos, a statistical model checker for the Hybrid Automata Stochastic Logic (HASL). HASL employs Linear Hybrid Automata (LHA), a generalization of Deterministic Timed Automata (DTA), to describe relevant execution paths of a Discrete Event Stochastic Process (DESP), a class of stochastic models which includes, but is not limited to, Markov chains. As a result HASL verification turns out to be a unifying framework where sophisticated temporal reasoning is naturally blended with elaborate reward-based analysis. COSMOS takes as input a DESP (described in terms of a Generalized Stochastic Petri Net), an LHA and an expression $Z$ representing the quantity to be estimated. It returns a confidence interval estimation of $Z$. COSMOS is written in C++ and is freely available to the research community.
机译:本工具文件介绍了cosmos,这是混合自动机随机逻辑(HASL)的统计模型检查器。 HASL使用线性混合自动机(LHA)(确定性定时自动机(DTA)的概括)来描述离散事件随机过程(DESP)的相关执行路径,该事件是一类随机模型,包括但不限于马尔可夫链。结果,HASL验证成为一个统一的框架,其中复杂的时间推理与精心设计的基于奖励的分析自然融合在一起。 COSMOS将DESP(以广义随机Petri网描述),LHA和表示要估计数量的表达式$ Z $作为输入。它返回$ Z $的置信区间估计。 COSMOS是用C ++编写的,可供研究社区免费使用。

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