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How Fast can Virtual Amoebae Aggregate? Analysis for the Optimal Firing Rate in an Instance of the Reaction-Diffusion-Chemotaxis Aggregation Scheme

Nikolaos Vlassopoulos 1, * Nazim A. Fatès 1 
* Corresponding author
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Decentralised gathering is a challenging problem in systems involving numerous identical agents. In our current work we analyse the dynamics of a gathering model that is based on virtual amoebae that fire reaction-diffusion waves with a given probability. Interestingly, it has been shown that there exists a tuning of this probability that minimises the aggregation time. Our study is aimed at experimentally measuring this optimal value and analysing how it is related to the dynamics of the model.
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https://hal.inria.fr/inria-00462156
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Submitted on : Monday, March 8, 2010 - 5:14:57 PM
Last modification on : Saturday, June 25, 2022 - 7:45:13 PM
Long-term archiving on: : Thursday, June 30, 2011 - 12:10:14 PM

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Nikolaos Vlassopoulos, Nazim A. Fatès. How Fast can Virtual Amoebae Aggregate? Analysis for the Optimal Firing Rate in an Instance of the Reaction-Diffusion-Chemotaxis Aggregation Scheme. 2010. ⟨inria-00462156⟩

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