Stefano Chiaradonna, Petar Jevtic, Beckett Sterner
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引用次数: 0
摘要
我们介绍了一个名为模块化 Petri 网组装工具包（MPAT）的 Python 软件包，它能帮助用户轻松创建各种空间配置的大规模模块化 Petri 网，包括广泛的空间网格或从形状文件中生成的网格，并添加异构信息层。Petri 网是计算生物学和工程学领域强大的离散事件系统建模工具。Petri 网是计算生物学和工程学中强大的离散事件系统建模工具，但由于现有建模软件包的缺陷，其在自动构建大规模空间模型方面的实用性受到了限制。MPAT 支持开发具有灵活空间几何结构的模块化 Petri 网模型，从而弥补了这一不足。
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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