Adaptive Spatial System Emergence from Community Swarm Optimization

Rawan Ghnemat (1) , Cyrille Bertelle (1) , Gérard H.E. Duchamp (2)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
2 LIPN - Laboratoire d'Informatique de Paris-Nord

This paper proposes a bottom-up approach to model spatial systems for urban dynamic and territorial management. Such approaches called micro-modelling have started with the use of cellular automata where local rules are defined and allow to implement some simulations, describing mainly dynamical diffusion processes over spatial grids. Our purpose is to deal with the detection of some emergent organizations during the simulation, using an implicit control, based on the use of genetic automata population. This automata population evolves by a swarm co-evolution, optimizing a fitness function which leads to an automatic emergence of dynamic communities.

Mots clés: swarm intelligence; automa with multiplicities; self-organization

Domaines: Adaptation et Systèmes auto-organisés [nlin.AO]; Intelligence artificielle [cs.AI]

Rawan Ghnemat, Cyrille Bertelle, Gérard H.E. Duchamp. Adaptive Spatial System Emergence from Community Swarm Optimization. SIAAS within AISB 2008 Convention, Apr 2008, Aberdeen, United Kingdom. 7 p. ⟨hal-00431233⟩