Communication Dans Un Congrès Année : 2024

ISiCell: A Participatory Methodology and Platform for Collaborative Agent-Based Modeling in Cell Biology

Résumé

Agent-based models are widely used in biology to study tissue-scale phenomena by simulating individual cell behaviors, offering insights into cellular biology and serving as predictive tools through computer simulations. However, their development requires effective communication between biologists and modelers, leading to delays. To address this, we propose a novel methodology using Unified Modeling Language (UML) diagrams to enhance communication and involve biologists in the model design process. These diagrams provide clarity and structure, while simulation visualization gathers qualitative feedback for validation. We also introduce a web platform allowing the creation of UML diagrams and automatic code translation for immediate simulation visualization. This article demonstrates our platform's capability by replicating two models from literature.

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hal-04943401 , version 1 (12-02-2025)

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Florian Cogoni, David Bernard, Roxana Khazen, Salvatore Valitutti, Valerie Lobjois, et al.. ISiCell: A Participatory Methodology and Platform for Collaborative Agent-Based Modeling in Cell Biology. The 2024 Conference on Artificial Life, Jul 2024, Online, France. ⟨10.1162/isal_a_00769⟩. ⟨hal-04943401⟩
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