Clustering Behavior of a Bio-inspired Decentralized Aggregation Scheme

Nikolaos Vlassopoulos 1 Nazim Fatès 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This note reviews a bio-inspired scheme for aggregating autonomous agents in the absence of global communication or coordination, a problem that is known as Decentralized Gathering. We present results on the clustering behavior of the agents, as we vary the main parameter that controls the agents' aggregation. Our observations show that there exist two phenomenologically different behaviors, characterized by two different evolutions of the number of clusters with time. We relate these different behaviors to different scales of significance of the fluctuations that appear in the model. We relate these different behaviors to the coupling of two factors: a change in the scale of the interaction range of the agents and a change in the significance of the local fluctuations in the model.
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Submitted on : Saturday, August 27, 2011 - 10:37:50 AM
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Nikolaos Vlassopoulos, Nazim Fatès. Clustering Behavior of a Bio-inspired Decentralized Aggregation Scheme. European Conference on Artificial Life - ECAL 2011, Aug 2011, Paris, France. pp.836-837. ⟨inria-00617250⟩

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