PNet: A Python Library for Petri Net Modeling and Simulation
Mathematical Software
2023-02-24 v1
Abstract
Petri Net is a formalism to describe changes between 2 or more states across discrete time and has been used to model many systems. We present PNet - a pure Python library for Petri Net modeling and simulation in Python programming language. The design of PNet focuses on reducing the learning curve needed to define a Petri Net by using a text-based language rather than programming constructs to define transition rules. Complex transition rules can be refined as regular Python functions. To demonstrate the simplicity of PNet, we present 2 examples - bread baking, and epidemiological models.
Keywords
Cite
@article{arxiv.2302.12054,
title = {PNet: A Python Library for Petri Net Modeling and Simulation},
author = {Zhu En Chay and Bing Feng Goh and Maurice HT Ling},
journal= {arXiv preprint arXiv:2302.12054},
year = {2023}
}