Título: Modeling Self-Organizing Systems with Social Insects Algorithms
Autores: Cyrille Bertelle; LITIS - University of Le Havre
Antoine Dutot; LITIS - University of Le Havre
Rawan Ghnemat; German-Jordanian University, Amman
Fecha: 2010-06-04
Publicador: BRAIN: Broad Research in Artificial Intelligence and Neuroscience
Fuente:
Tipo:
Tema: Swarm Intelligence, Complex Systems
swarm intelligence, complex systems, ant colony optimiza- tion, self-organization, emergent properties

Descripción: Self-organization is common in natural systems. This tutorialdescribes some of these systems, speci¯cally from insect societies like in bees, termites or ant colonies. In a first part, a modeling process is explained. Objects and phenomena targeted by these methods are presented. Naturalor social complex systems are the context of these objects and phenomena. Basic algorithms presented for example in [8] are given. These algorithms belongs to the class of swarm intelligence methods describing how a network of interacting entities can lead to emergent properties of the whole system. In a second part, more original applications are presented, based on extensions of these basic algorithms in order to model ecosystems, urban dynamics or to propose a decentralized method to distribute simulations over dynamicalcommunication graphs.
Idioma: Inglés

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