Structural place invariants for analyzing the behavioral properties of nested Petri nets

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Abstract

Nested Petri nets (NP-nets) is an extension of the Petri nets formalism within the “nets-within-nets” approach. Due to tokens with individual behavior and the mechanism of synchronization NP-nets are convenient for modeling multi-agent and adaptive systems, flexible workflow nets, and other systems with mobile interacting components and dynamic structure. In contrast to classical Petri nets, there is still a lack of analysis methods for NP-nets. In this paper we show, that the classical Petri nets analysis technique based on place invariants can be extended to NP-nets. This paper defines place invariants of NP-nets, which link several NP-net components and allow to prove crucial behavioral properties directly from the NP-net structure. An algorithm for computing NP-net invariants is presented and illustrated with an example of EJB system verification.

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Dworzanski, L. W., & Lomazova, I. A. (2016). Structural place invariants for analyzing the behavioral properties of nested Petri nets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9698, pp. 325–344). Springer Verlag. https://doi.org/10.1007/978-3-319-39086-4_19

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