A Nonlinear Multi-agent System designed for Swarm Intelligence : the Logistic MAS - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2007

A Nonlinear Multi-agent System designed for Swarm Intelligence : the Logistic MAS

Rodolphe Charrier
Christine Bourjot
  • Fonction : Auteur
  • PersonId : 830457

Résumé

Ant algorithms and flocking algorithms are the two main programming paradigms in swarm intelligence. They are built on stochastic models, widely used in optimization problems. However, though this modeling leads to high-performance algorithms, some mechanisms, like the symmetry break in ant decision, are still not well understood at the local ant level. Moreover, there is currently no modeling approach which joins the two paradigms. This paper proposes an entirely novel approach to the mathematical foundations of swarm algorithms: contrary to the current stochastic approaches, we show that an alternative deterministic model exists, which has its origin in deterministic chaos theory. We establish a reactive multi-agent system, based on logistic nonlinear decision maps, and designed according to the influence-reaction scheme. The rewriting of the decision functions leads to a new way of understanding the swarm phenomena in terms of state synchronization, and enables the analysis of their convergence behavior through bifurcation diagrams. We apply our approach on two concrete examples of each algorithm class, in order to demonstrate its general applicability.
Fichier principal
Vignette du fichier
Saso07.pdf (308.96 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00168315 , version 1 (08-03-2011)

Identifiants

Citer

Rodolphe Charrier, Christine Bourjot, François Charpillet. A Nonlinear Multi-agent System designed for Swarm Intelligence : the Logistic MAS. First IEEE International Conference on Self-Adaptive and Self-Organizing Systems - SASO 2007, Jul 2007, Boston, United States. pp.32-44, ⟨10.1109/SASO.2007.1⟩. ⟨inria-00168315⟩
204 Consultations
259 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More