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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.12161 |
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| _version_ | 1866917083289223168 |
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| author | Pleyer, Jonas |
| author_facet | Pleyer, Jonas |
| contents | Cellular Agent-Based Models are commonly employed to describe a variety biological systems. Over the course of the past years, many modeling tools have emerged which solve particular research questions. In this short opinion piece, we argue that existing frameworks lack flexibility compared to the inherent underlying complexity that they should be able to represent. We extract overarching principles of widely used software solutions across multiple domains and compare these with existing Agent-Based Models (ABMs). We come to the conclusion that existing ABMs lack in flexibility which hinders overall progress of the field. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_12161 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Agent-Based Modelling in Cellular Biology - Are we flexible yet? Pleyer, Jonas Cell Behavior Cellular Agent-Based Models are commonly employed to describe a variety biological systems. Over the course of the past years, many modeling tools have emerged which solve particular research questions. In this short opinion piece, we argue that existing frameworks lack flexibility compared to the inherent underlying complexity that they should be able to represent. We extract overarching principles of widely used software solutions across multiple domains and compare these with existing Agent-Based Models (ABMs). We come to the conclusion that existing ABMs lack in flexibility which hinders overall progress of the field. |
| title | Agent-Based Modelling in Cellular Biology - Are we flexible yet? |
| topic | Cell Behavior |
| url | https://arxiv.org/abs/2511.12161 |