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Abstract Probabilistic Automata*

机译:抽象概率自动机*

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摘要

Probabilistic Automata (PAs) are a widely-recognized mathematical framework for the specification and analysis of systems with non-deterministic and stochastic behaviors. This paper proposes Abstract Probabilistic Automata (APAs), that is a novel abstraction model for PAs. In APAs uncertainty of the non-deterministic choices is modeled by may/must modalities on transitions while uncertainty of the stochastic behaviour is expressed by (underspecified) stochastic constraints. We have developed a complete abstraction theory for PAs, and also propose the first specification theory for them. Our theory supports both satisfaction and refinement operators, together with classical stepwise design operators. In addition, we study the link between specification theories and abstraction in avoiding the state-space explosion problem.
机译:概率自动机(PA)是一种公认​​的数学框架,用于规范和分析具有不确定性和随机行为的系统。本文提出了抽象概率自动机(APA),它是一种用于PA的新颖抽象模型。在APA中,不确定性选择的不确定性通过过渡的可能/必须模式建模,而随机行为的不确定性则由(未指定)随机约束表示。我们已经为PA开发了完整的抽象理论,并为它们提出了第一个规范理论。我们的理论支持满意和提炼算子,以及经典的逐步设计算子。此外,我们研究了规范理论与抽象之间的联系,以避免状态空间爆炸问题。

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