全谷物Petri网和工艺

IF 2.3 2区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Journal of the ACM Pub Date : 2022-12-19 DOI:https://dl.acm.org/doi/10.1145/3559103
Joachim Kock
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引用次数: 0

摘要

我们提出了一种基于多项式型有限集构形和线性映射的Petri网的形式。该形式主义既支持Goltz和Reisig风格的几何语义(过程是从图中生成的映射),也支持Meseguer和Montanari风格的代数语义,就自由彩色支柱而言,并允许以下统一:对于P a Petri网,P-过程的Segal空间被证明是P上的群中的自由彩色支柱。在新的形式主义中,每个Petri网都承认一个普遍展开,这反过来又将事件结构和斯科特域联系起来。因为所有东西都是用显式集合编码的,所以Petri网和它们的过程都有元素。特别是,单个令牌语义是本地的。(集体令牌语义来自于相当激烈的商构造(例如Best-Devillers),包括取状态群类群的π0。)
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Whole-grain Petri Nets and Processes

We present a formalism for Petri nets based on polynomial-style finite-set configurations and etale maps. The formalism supports both a geometric semantics in the style of Goltz and Reisig (processes are etale maps from graphs) and an algebraic semantics in the style of Meseguer and Montanari, in terms of free coloured props, and allows the following unification: for P a Petri net, the Segal space of P-processes is shown to be the free coloured prop-in-groupoids on P. There is also an unfolding semantics à la Winskel, which bypasses the classical symmetry problems: with the new formalism, every Petri net admits a universal unfolding, which in turn has associated an event structure and a Scott domain. Since everything is encoded with explicit sets, Petri nets and their processes have elements. In particular, individual-token semantics is native. (Collective-token semantics emerges from rather drastic quotient constructions à la Best–Devillers, involving taking π0 of the groupoids of states.)

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来源期刊
Journal of the ACM
Journal of the ACM 工程技术-计算机:理论方法
CiteScore
7.50
自引率
0.00%
发文量
51
审稿时长
3 months
期刊介绍: The best indicator of the scope of the journal is provided by the areas covered by its Editorial Board. These areas change from time to time, as the field evolves. The following areas are currently covered by a member of the Editorial Board: Algorithms and Combinatorial Optimization; Algorithms and Data Structures; Algorithms, Combinatorial Optimization, and Games; Artificial Intelligence; Complexity Theory; Computational Biology; Computational Geometry; Computer Graphics and Computer Vision; Computer-Aided Verification; Cryptography and Security; Cyber-Physical, Embedded, and Real-Time Systems; Database Systems and Theory; Distributed Computing; Economics and Computation; Information Theory; Logic and Computation; Logic, Algorithms, and Complexity; Machine Learning and Computational Learning Theory; Networking; Parallel Computing and Architecture; Programming Languages; Quantum Computing; Randomized Algorithms and Probabilistic Analysis of Algorithms; Scientific Computing and High Performance Computing; Software Engineering; Web Algorithms and Data Mining
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