MPAT: Modular Petri Net Assembly Toolkit
Stefano Chiaradonna, Petar Jevtic, Beckett Sterner
TL;DR
MPAT is a Python toolkit that simplifies the creation of large-scale, modular Petri Nets with flexible spatial geometries for applications in biology and engineering.
Contribution
It introduces a new Python package enabling automated, modular construction of spatial Petri Nets with heterogeneous information layers.
Findings
Supports large-scale spatial grid models
Allows integration of shape files and heterogeneous data
Enhances automation in Petri Net modeling
Abstract
We present a Python package called Modular Petri Net Assembly Toolkit (MPAT) that empowers users to easily create large-scale, modular Petri Nets for various spatial configurations, including extensive spatial grids or those derived from shape files, augmented with heterogeneous information layers. Petri Nets are powerful discrete event system modeling tools in computational biology and engineering. However, their utility for automated construction of large-scale spatial models has been limited by gaps in existing modeling software packages. MPAT addresses this gap by supporting the development of modular Petri Net models with flexible spatial geometries.
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Taxonomy
TopicsPetri Nets in System Modeling · Distributed systems and fault tolerance · Service-Oriented Architecture and Web Services