[en] The leader election problem is a crucial problem in the theory of distributed algorithms, multi-agent systems as well as in sociobiology. In this paper we investigate one-dimensional binary state cellular automata with an intention to track self-organizational mechanisms that finally enable a global leader to be elected. Since our model is anonymous and uniform we also have to deal with a problem of symmetry that in great majority of cases is broken by inhomogeneity of arbitrary initial configurations. Our approach to the problem is based on the evolution of cellular automata by genetic algorithms and the methodology of computational mechanics. The presented new solution of the leader election reaches remarkably high performance of 94 − 99%. The analysis shows a sophisticated collective computation demonstrated by so called particles and their interactions. Due to the simplicity of our model, presented approach is general and universal enough to be applicable even at the level of primitive biological or artificial societies.
Disciplines :
Ingénierie, informatique & technologie: Multidisciplinaire, généralités & autres Sciences informatiques
Auteur, co-auteur :
BANDA, Peter ; Comenius University > Department of Applied Informatics
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Cellular Automata Evolution Of Leader Election
Date de publication/diffusion :
2011
Nom de la manifestation :
The 10th European Conference on Artificial Life
Lieu de la manifestation :
Budapest, Hongrie
Date de la manifestation :
from 13-09-2009 to 16-09-2009
Manifestation à portée :
International
Titre de l'ouvrage principal :
Advances in Artificial Life. Darwin Meets von Neumann
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