A Study on Team Bisimulations for BPP Nets

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Abstract

BPP nets, a subclass of finite P/T nets, were equipped in [13] with an efficiently decidable, truly concurrent, behavioral equivalence, called team bisi-milarity. This equivalence is a very intuitive extension of classic bisimulation equivalence (over labeled transition systems) to BPP nets and it is checked in a distributed manner, without building a global model of the overall behavior of the marked BPP net. This paper has three goals. First, we provide BPP nets with various causality-based equivalences, notably a novel one, called causal-net bisimilarity, and (a version of) fully-concurrent bisimilarity [3]. Then, we define a variant equivalence, h-team bisimilarity, coarser than team bisimilarity. Then, we complete the study by comparing them with the causality-based semantics we have introduced: the main results are that team bisimilarity coincides with causal-net bisimilarity, while h-team bisimilarity with fully-concurrent bisimilarity.

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Gorrieri, R. (2020). A Study on Team Bisimulations for BPP Nets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12152 LNCS, pp. 153–175). Springer. https://doi.org/10.1007/978-3-030-51831-8_8

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