Adaptive Modeling for Spatial Emergence within Complex Systems
Identifieur interne : 000B00 ( Main/Exploration ); précédent : 000A99; suivant : 000B01Adaptive Modeling for Spatial Emergence within Complex Systems
Auteurs : Rawan Ghnemat [France]Source :
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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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<front><div type="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.</div>
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