基于广义随机高阶Petri网的复合马尔可夫链自动构造

J.A. Carasco
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引用次数: 5

摘要

提出了一种将广义随机高阶Petri网和广义随机高阶Petri网的数量相结合的新型Petri网,称为GSHLPNs。本文还考虑了由gshlpn自动构造复合连续马尔可夫链(ctmc)的问题。给出了一种描述复合标记的形式,该形式允许网络的符号发射以获得具有正确状态群的复合CTMC。复合CTMC的构建需要一种算法来测试复合标记的等效性。这表明,在一般情况下,对于有限数量的旋转群,这个问题多项式地等价于图同构,这个问题在NP世界中的分类目前是开放的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated construction of compound Markov chains from generalized stochastic high-level Petri nets
A new type of Petri nets called generalized stochastic high-level Petri nets (GSHLPNs), combining the quantities of GSPNs and SHLPNs, is presented. The automated construction of compound continuous-time Markov chains (CTMCs) from GSHLPNs is also considered. A formalism for the description of compound markings allowing a symbolic firing of the net to obtain a compound CTMC with correct state group is derived. The construction of the compound CTMC requires an algorithm to test the equivalence of compound markings. I tis shown that, in the general case and for bounded number of rotation groups, the problem is polynomially equivalent to graph isomorphism, a problem whose classification in the NP world is currently open.<>
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