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].
Author: | Mostafa Zahri |
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URN: | urn:nbn:de:hebis:30-68016 |
Referee: | Malte Sieveking |
Document Type: | Doctoral Thesis |
Language: | English |
Date of Publication (online): | 2009/08/19 |
Year of first Publication: | 2009 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Granting Institution: | Johann Wolfgang Goethe-Universität |
Date of final exam: | 2009/07/31 |
Release Date: | 2009/08/19 |
Tag: | Condensing; collective intelligence; discrete dynamical system; forming a group; manifold and geodesic; multi-agents system; random metric |
HeBIS-PPN: | 214916375 |
Institutes: | Informatik und Mathematik / Mathematik |
Dewey Decimal Classification: | 5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik |
Licence (German): | Deutsches Urheberrecht |