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On the expressiveness of higher dimensional automata

机译:关于高维自动机的表达

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In this paper I compare the expressive power of several models of concurrency based on their ability to represent causal dependence. To this end, I translate these models, in behaviour preserving ways, into the model of higher dimensional automata (HDA), which is the most expressive model under investigation. In particular, I propose four different translations of Petri nets, corresponding to the four different computational interpretations of nets found in the literature. I also extend various equivalence relations for concurrent systems to HDA. These include the history preserving bisimulation, which is the coarsest equivalence that fully respects branching time, causality and their interplay, as well as the ST-bisimulation, a branching time respecting equivalence that takes causality into account to the extent that it is expressible by actions overlapping in time. Through their embeddings in HDA, it is now well-defined whether members of different models of concurrency are equivalent.
机译:在本文中,我比较了几种并发模型基于因果关系的表达能力。为此,我将这些模型以行为保留的方式转换为高维自动机(HDA)模型,该模型是研究中最具表现力的模型。特别是,我提出了Petri网的四种不同的翻译,对应于文献中对网的四种不同的计算解释。我还将并发系统的各种等效关系扩展到HDA。其中包括历史保存双模拟,这是最充分考虑分支时间,因果关系及其相互影响的最粗等价物,以及ST双向模拟,即考虑因果关系在行为可表示的范围内考虑等价关系的分支时间时间重叠。通过它们在HDA中的嵌入,现在可以很好地定义不同并发模型的成员是否等效。

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