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Jun, 2023
沉默的享受:具有沉默转移的随机Petri网分析
Enjoy the Silence: Analysis of Stochastic Petri Nets with Silent Transitions
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Sander J. J. Leemans, Fabrizio M. Maggi, Marco Montali
TL;DR
本文提出一个框架,通过引入标记和无声转换在有限轨迹语义中的标记随机过程,应用于Petri网和过程挖掘中的频率和概率分析任务,并用吸收马尔科夫链的技术推理出它们的概率。
Abstract
Capturing
stochastic behaviors
in business and work processes is essential to quantitatively understand how nondeterminism is resolved when taking decisions within the process. This is of special interest in
process min
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