Condensing on metric spaces : modeling, analysis and simulation

In this work, we extend the Hegselmann and Krause (HK) model, presented in [16] to an arbitrary metric space. We also present some theoretical analysis and some numerical results of the condensing of particles in finite and continuous metric spaces. For simulations in a finite metric space, we introduce the notion "random metric" using the split metrics studies by Dress and al. [2, 11, 12].

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Metadaten
Author:Mostafa Zahri
URN:urn:nbn:de:hebis:30-68016
Referee:Malte Sieveking
Document Type:Doctoral Thesis
Language:English
Date of Publication (online):19.08.2009
Year of first Publication:2009
Publishing Institution:Univ.-Bibliothek Frankfurt am Main
Granting Institution:Johann Wolfgang Goethe-Univ. Frankfurt am Main
Date of final exam:31.07.2009
Tag:Condensing ; collective intelligence ; discrete dynamical system ; forming a group ; manifold and geodesic ; multi-agents system ; random metric
HeBIS PPN:214916375
Institutes:Mathematik
Dewey Decimal Classification:510 Mathematik
Sammlungen:Universitätspublikationen
Licence (German):License Logo Veröffentlichungsvertrag für Publikationen ohne Print on Demand

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