Giann Karlo Aguirre Samboni, Stefan Haar, Loic Paulevé, Stefan Schwoon, Nick Würdemann
{"title":"Attractor Basins in Concurrent Systems","authors":"Giann Karlo Aguirre Samboni, Stefan Haar, Loic Paulevé, Stefan Schwoon, Nick Würdemann","doi":"arxiv-2409.01079","DOIUrl":null,"url":null,"abstract":"A crucial question in analyzing a concurrent system is to determine its\nlong-run behaviour, and in particular, whether there are irreversible choices\nin its evolution, leading into parts of the reachability space from which there\nis no return to other parts. Casting this problem in the unifying framework of\nsafe Petri nets, our previous work has provided techniques for identifying\nattractors, i.e. terminal strongly connected components of the reachability\nspace. What we aim at is to determine the attraction basins associated to those\nattractors; that is, those states from where all infinite runs are doomed to\nend in the given attractor, as opposed to those that are free to evolve\ndifferently. Here, we provide a solution for the case of safe Petri nets. Our\nalgorithm uses net unfoldings and provides a map of all of those configurations\n(concurrent executions of the system) that lead onto cliff-edges, i.e. any\nmaximal extension for those configurations lies in some basin that is\nconsidered fatal.","PeriodicalId":501124,"journal":{"name":"arXiv - CS - Formal Languages and Automata Theory","volume":"69 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Formal Languages and Automata Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.01079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A crucial question in analyzing a concurrent system is to determine its
long-run behaviour, and in particular, whether there are irreversible choices
in its evolution, leading into parts of the reachability space from which there
is no return to other parts. Casting this problem in the unifying framework of
safe Petri nets, our previous work has provided techniques for identifying
attractors, i.e. terminal strongly connected components of the reachability
space. What we aim at is to determine the attraction basins associated to those
attractors; that is, those states from where all infinite runs are doomed to
end in the given attractor, as opposed to those that are free to evolve
differently. Here, we provide a solution for the case of safe Petri nets. Our
algorithm uses net unfoldings and provides a map of all of those configurations
(concurrent executions of the system) that lead onto cliff-edges, i.e. any
maximal extension for those configurations lies in some basin that is
considered fatal.
分析并发系统的一个关键问题是确定其长期运行行为,特别是确定在其演化过程中是否存在不可逆转的选择,导致进入可达性空间的某些部分而无法返回其他部分。将这一问题置于安全 Petri 网的统一框架中,我们之前的工作提供了识别牵引者(即可达性空间的终端强连接部分)的技术。我们的目标是确定与这些吸引子相关的吸引盆地;也就是说,所有无限运行都注定会在给定吸引子中结束的那些状态,而不是那些可以自由演化的状态。在这里,我们为安全 Petri 网提供了一种解决方案。Ouralgorithm 使用网的展开,并提供了所有那些通向悬崖边的配置(系统的并发执行)的映射,即这些配置的任何最大扩展都位于某个盆地中,而这个盆地被认为是致命的。