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2007

Adaptive Automata Community Detection and Clustering: A generic methodology

11 years 27 days ago
Adaptive Automata Community Detection and Clustering: A generic methodology
— We present in this paper a generic methodology based on genetic automata for modelling community detection. With Communities, we deal with dynamic organizations which are self-organized from two aspects, the spatial one and the functional one. We propose in this paper a general methodology which extends cellular based modelling - like Schelling models - to more sophisticated approaches based on agent behavior modelling. These agent behaviors are modelled by automata with multiplicities. These automata-based models allow to define powerful operators like genetic operators and behavioral semi-distance. Mixing these operators, we can propose a complex computing, dealing with spatial selforgnaization coupled with behavioral similarity for adaptive self-organized systems.
Rawan Ghnemat, Cyrille Bertelle, Gérard Hen
Added 07 Nov 2010
Updated 07 Nov 2010
Type Conference
Year 2007
Where WCE
Authors Rawan Ghnemat, Cyrille Bertelle, Gérard Henry Edmond Duchamp
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