2019
DOI: 10.1007/978-3-030-21571-2_20
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Parameterized Analysis of Immediate Observation Petri Nets

Abstract: We introduce immediate observation Petri nets, a class of interest in the study of population protocols (a model of distributed computation), and enzymatic chemical networks. In these areas, relevant analysis questions translate into parameterized Petri net problems: whether an infinite set of Petri nets with the same underlying net, but different initial markings, satisfy a given property. We study the parameterized reachability, coverability, and liveness problems for immediate observation Petri nets. We sho… Show more

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Cited by 23 publications
(44 citation statements)
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“…The norm of a counting set S is the smallest norm of a counting constraint representing S , that is, S The following result for IO nets is deduced directly from Theorem 6 in [17]. It states that the forward and backward reachability set of a counting set is still a counting set, and bounds its norms polynomially.…”
Section: Io Does Not Strongly Simulate Rbnmentioning
confidence: 99%
See 1 more Smart Citation
“…The norm of a counting set S is the smallest norm of a counting constraint representing S , that is, S The following result for IO nets is deduced directly from Theorem 6 in [17]. It states that the forward and backward reachability set of a counting set is still a counting set, and bounds its norms polynomially.…”
Section: Io Does Not Strongly Simulate Rbnmentioning
confidence: 99%
“…Immediate observation nets, or IO nets, were introduced in [16]. They are a subclass of Petri nets with applications in population protocols and chemical reaction networks.…”
Section: Immediate Observation Netsmentioning
confidence: 99%
“…The next lemma states the converse result. It essentially uses the fact that there is a sub-class of population protocols called IO protocols which compute exactly the predicates definable by counting sets (Theorem 7 and Theorem 39 of [2,14]), and that IO protocols are a sub-class of RBN (Section 6.2 of [3]). Lemma 8.…”
Section: Expressivitymentioning
confidence: 99%
“…Основою цього інструментарію є інтерпретації класичних мереж Петрі, для яких виявлено комплекс властивостей, що дають змогу проводити аналіз функціонування моделі та відлагоджувати їх структуру відповідно до вимог, зокрема за властивостями живості, досяжності та збережуваності [10]. Для відображення функцій керування та контролю створено мережі Петрі з пустими переходами, які дають можливість зосередити увагу дослідника на зовнішніх функціях модельованої системи, а разом із тим проаналізувати і внутрішню динаміку, що особливо важливо при аналізі роботи з контрольним точками та ресурсами [11].…”
Section: вступunclassified