Clustering Behavior of a Bio-inspired Decentralized Aggregation Scheme - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2011

Clustering Behavior of a Bio-inspired Decentralized Aggregation Scheme

Nikolaos Vlassopoulos
  • Function : Author
  • PersonId : 867827
Nazim A. Fatès

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.
Fichier principal
Vignette du fichier
Amybia.pdf (83.96 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00617250 , version 1 (27-08-2011)

Identifiers

  • HAL Id : inria-00617250 , version 1

Cite

Nikolaos Vlassopoulos, Nazim A. 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⟩
134 View
78 Download

Share

Gmail Facebook X LinkedIn More