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FAUST~2: Formal Abstractions of Uncountable-STate STochastic Processes

机译:浮士福〜2:不可数状态随机流程的正式抽象

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FAUST~2 is a software tool that generates formal abstractions of (possibly non-deterministic) discrete-time Markov processes (dtMP) defined over uncountable (continuous) state spaces. A dtMP model is specified in MATLAB and abstracted as a finite-state Markov chain or a Markov decision process. The abstraction procedure runs in MATLAB and employs parallel computations and fast manipulations based on vector calculus, which allows scaling beyond state-of-the-art alternatives. The abstract model is formally put in relationship with the concrete dtMP via a user-defined maximum threshold on the approximation error introduced by the abstraction procedure. FAUST~2 allows exporting the abstract model to well-known probabilistic model checkers, such as PRISM or MRMC. Alternatively, it can handle internally the computation of PCTL properties (e.g. safety or reach-avoid) over the abstract model. FAUST~2 allows refining the outcomes of the verification procedures over the concrete dtMP in view of the quantified and tunable error, which depends on the dtMP dynamics and on the given formula. The toolbox is available at http://sourceforge.net/projects/faust2/
机译:FAUST〜2是一种软件工具,可以生成(可能是非确定性)离散时间马尔可夫进程(DTMP)的正式抽象,这些工具在不可数(连续)状态空间上定义。 DTMP模型在Matlab中指定,并将其作为有限状态马尔可夫链或马尔可夫决策过程。抽象过程在MATLAB中运行,采用基于矢量微积分的并行计算和快速操作,这允许缩放最先进的替代方案。抽象模型通过用户定义的最大阈值与混凝土DTMP正式放置在抽象过程中的近似误差上的最大阈值。浮士〜2允许将抽象模型导出到着名的概率模型检查器,例如棱镜或MRMC。或者,它可以在内部处理在抽象模型上的PCTL属性(例如安全或达到)的计算。浮点〜2允许在鉴于量化和可调误差验证的情况下,将验证程序的结果完善,这取决于DTMP动态和给定公式。工具箱可在http://sourceforge.net/projects/faust2/获取

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