Reference : A Multi-agent approach for in silico simulations of micro-biological systems
E-prints/Working papers : Already available on another site
Life sciences : Multidisciplinary, general & others
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/10993/39400
A Multi-agent approach for in silico simulations of micro-biological systems
English
Proverbio, Daniele mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Gallo, Luca [Università degli Studi di Torino - Unito]
Passalacqua, Barbara [Università degli Studi di Torino - Unito]
Pellegrino, Jacopo [Istituto Nazionale di Fisica Nucleare - INFN]
Maggiora, Marco [Università degli Studi di Torino - Unito]
Apr-2019
14
No
[en] Multi Agent Systems ; Dyctiostelium Discoideum ; Swarm System ; Decentralized gathering ; Distributed Control ; Robustness
[en] A Multi-agent approach forin silicosimulations ofmicro-biological systemsProverbio D., Gallo L., Passalacqua B., Pellegrino J., Maggiora M.AbstractUsing a Multi-agent systems paradigm, the present project develops, validates and exploits a computa-tionaltestbedthat simulates micro-biological complex systems, namely the aggregation patterns of thesocial amoebaDyctiostelium discoideum. We propose a new design and implementation for managingdiscrete simulations with autonomous agents on a microscopic scale, thus focusing on their social be-havior and mutual interactions. Then, the dependence on the main physical variables is tested, namelydensity and number of amoebas; in addition, we analyze the robustness of the dynamics against var-ious noise sources. Along with these results, we suggest a methodology for further studies that makeuse of our validated model.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/39400
https://arxiv.org/abs/1904.11372

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