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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.10372 |
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| _version_ | 1866915369180987392 |
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| author | Chiaradonna, Stefano Jevtic, Petar Sterner, Beckett |
| author_facet | Chiaradonna, Stefano Jevtic, Petar Sterner, Beckett |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_10372 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MPAT: Modular Petri Net Assembly Toolkit Chiaradonna, Stefano Jevtic, Petar Sterner, Beckett Mathematical Software 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. |
| title | MPAT: Modular Petri Net Assembly Toolkit |
| topic | Mathematical Software |
| url | https://arxiv.org/abs/2407.10372 |