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Adaptive Modeling for Spatial Emergence within Complex Systems

Identifieur interne : 000029 ( Hal/Corpus ); précédent : 000028; suivant : 000030

Adaptive Modeling for Spatial Emergence within Complex Systems

Auteurs : Rawan Ghnemat

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RBID : Hal:tel-00429162

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English descriptors

Abstract

The aim of this work concerns the implementation of swarm intelligence models in order to study the spatial emergence of organizations within self-organized systems, under multi-criteria constraints. The scientific context of the modeling formalism is developped in this document. A methodology is presented and leads to the development of a complex heuristic linking bio-inspirated elementary models, based on ant algorithms. An application is developped and concerns the service/user modeling - specifically for cultural services - in urban dynamics. Models of adaptive mechanisms of services during their usage are also proposed.

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Le document en format XML

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<abstract xml:lang="en">The aim of this work concerns the implementation of swarm intelligence models in order to study the spatial emergence of organizations within self-organized systems, under multi-criteria constraints. The scientific context of the modeling formalism is developped in this document. A methodology is presented and leads to the development of a complex heuristic linking bio-inspirated elementary models, based on ant algorithms. An application is developped and concerns the service/user modeling - specifically for cultural services - in urban dynamics. Models of adaptive mechanisms of services during their usage are also proposed.</abstract>
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