Adaptive Spatial System Emergence from Community Swarm Optimization

International audienceThis 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