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arXiv · 1904.11372

A Multi-agent approach for $\textit{in silico}$ simulations of micro-biological systems

Daniele Proverbio·Luca Gallo·Barbara Passalacqua·Jacopo Pellegrino·Marco Maggiora
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Abstract

Using a Multi-agent systems paradigm, the present project develops, validates and exploits a computational $\textit{testbed}$ that simulates micro-biological complex systems, namely the aggregation patterns of the social amoeba $\textit{Dyctiostelium discoideum}$. We propose a new design and implementation for managing discrete simulations with autonomous agents on a microscopic scale, thus focusing on their social behavior and mutual interactions. Then, the dependence on the main physical variables is tested, namely density and number of amoebas; in addition, we analyze the robustness of the dynamics against various noise sources. Along with these results, we suggest a methodology for further studies that make use of our validated model.

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Daniele Proverbio, Luca Gallo, Barbara Passalacqua, Jacopo Pellegrino, Marco Maggiora. 2019-04-16. A Multi-agent approach for $\textit{in silico}$ simulations of micro-biological systems. https://doi.org/10.1007/s11721-020-00186-y

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