See also the Petri net in The Azimuth Project.
Petri nets are a well known model of concurrent computation, generalising transition systems by using a built in notion of resource. Their use is widespread in modelling manufacturing systems, optimising control systems and in resource critical aspects of operational research, as well as being a useful model of computation. Because of this they exist in many variants : colored, algebraic, probabilistic, timed, …, and hence there are many forms of the basic definition, each thought best of that particular application.
The initial use, here, is for their links with transition systems, event structures, asynchronous automata etc., leading on to their comparison with higher dimensional automata? and higher dimensional transition systems, so the first definition we will use is that given by Winskel and Nielsen (see references below), but first we will attempt to give some idea of what a Petri net is and what is does.
The idea of a simple Petri net is based on a simple manufacturing shop. You have various ‘transitions’ or manufacturing ‘events’ that form part of the various process occurring in the ‘shop’. These typically take parts (of the final object), do something to them, such as combining two or more different parts to make a more complicated one, (for instance, putting the wheels on a car).
Parts, represented by ‘tokens’ are stored in ‘places’ and the assembly process are known, as above, as ‘events’ or ‘transitions’ (depending on the source being used for the theory). The relationships are typically represented graphically. For instance:
represents a system with three places (labelled $A$, $B$, and $C$) and one event/ transition (labelled $e$). Shown is a situation represented by an initial ‘marking’ where there are two tokens in $A$, one in $B$, and none in $C$. (The convention is that places are shown as circles and events as rectangles.)
Suppose that the ‘event’ takes one ‘part’ of type $A$, one of type $B$ and produces one of type $C$. (This is indicated on the diagram by the labels on the edges. Clearly with the available resources the even $e$ is able to be performed. (The usual Petri net jargon for this is that ‘$e$ is enabled’.) In this case, $e$ can be ‘fired’ and the result will yield a marking of one token in $A$, none in $B$ and one in $C$. This sort of structure gets abstracted as follows:
A Petri net $N$ consists of
a set $P$ of places;
an initial marking $M_0 \in \mathbb{N}^P$, so $M_0 : P \to \mathbb{N}$;
a set $E$ of events; and
two functions
$pre: P\times E\to \mathbb{N}$, and
$post: P\times E\to \mathbb{N}$.
G. Winskel, M. Nielsen, Models for concurrency, Handbook of Logic in Computer Science vol. 3, pp. 100 – 200, Oxford Univ. Press 1994. (see also online technical report).
John C. Baez and Jacob Biamonte, Quantum techniques in stochastic mechanics, World Scientific, 2018. World Scientific pdf
José Meseguer and Ugo Montanari?, Petri nets are monoids, Information and Computation, Volume 88, Issue 2, Pages 105-155, 1990. journal, pdf
For an introduction to Petri nets (en francais, which is very clear and accessible) look at
Connection to linear logic:
Last revised on October 5, 2019 at 03:17:53. See the history of this page for a list of all contributions to it.