Self-organized pattern formation in a swarm system as a transient phenomenon of non-linear dynamics
Self-organized pattern formation in a swarm system as a transient phenomenon of non-linear dynamics
Vorschaubild nicht verfügbar
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2012
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
eISSN
item.preview.dc.identifier.isbn
Bibliografische Daten
Verlag
Schriftenreihe
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
EU-Projektnummer
Projekt
Open Access-Veröffentlichung
Sammlungen
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Mathematical and Computer Modelling of Dynamical Systems ; 18 (2012), 1. - S. 39-50. - Taylor & Francis. - ISSN 1381-2424. - eISSN 1744-5051
Zusammenfassung
This article presents a microscopic model (agent positions, directions and interactions are explicitly modelled) of mobile agents (or self-propelled particles) that is inspired by the ‘complex transport networks’ reported by Jones (2010; The emergence and dynamical evolution of complex transport networks from simple low-level behaviours, International Journal of Unconventional Computing 6, pp. 125–144). Here, the agents' positions are modelled continuously. This multi-agent system (or artificial swarm) shows a wide variety of self-organized pattern formations. The self-organization is based on the non-linearity of the agents' turns (discrete jumps in the agents' directions) and the indirect interactions of the agents via a potential field that determines their motion (high values are attractive) and which is changed by themselves (agents increase the value of the potential field at their positions). At least most of the irregular and complex patterns are transient. The patterns found during the transient are more complex than those the system converges to. Still, this transient behaviour is relevant. We empirically investigate the transient times in dependence of several system parameters and give examples.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
swarm system; transient; self-organization; non-linear dynamics
Konferenz
Rezension
undefined / . - undefined, undefined. - (undefined; undefined)
Zitieren
ISO 690
HAMANN, Heiko, Thomas SCHMICKL, Karl CRAILSHEIM, 2012. Self-organized pattern formation in a swarm system as a transient phenomenon of non-linear dynamics. In: Mathematical and Computer Modelling of Dynamical Systems. Taylor & Francis. 18(1), pp. 39-50. ISSN 1381-2424. eISSN 1744-5051. Available under: doi: 10.1080/13873954.2011.601418BibTex
@article{Hamann2012Selfo-58574, year={2012}, doi={10.1080/13873954.2011.601418}, title={Self-organized pattern formation in a swarm system as a transient phenomenon of non-linear dynamics}, number={1}, volume={18}, issn={1381-2424}, journal={Mathematical and Computer Modelling of Dynamical Systems}, pages={39--50}, author={Hamann, Heiko and Schmickl, Thomas and Crailsheim, Karl} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/58574"> <dc:rights>terms-of-use</dc:rights> <dcterms:title>Self-organized pattern formation in a swarm system as a transient phenomenon of non-linear dynamics</dcterms:title> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-09-08T11:03:07Z</dcterms:available> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/58574"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:abstract xml:lang="eng">This article presents a microscopic model (agent positions, directions and interactions are explicitly modelled) of mobile agents (or self-propelled particles) that is inspired by the ‘complex transport networks’ reported by Jones (2010; The emergence and dynamical evolution of complex transport networks from simple low-level behaviours, International Journal of Unconventional Computing 6, pp. 125–144). Here, the agents' positions are modelled continuously. This multi-agent system (or artificial swarm) shows a wide variety of self-organized pattern formations. The self-organization is based on the non-linearity of the agents' turns (discrete jumps in the agents' directions) and the indirect interactions of the agents via a potential field that determines their motion (high values are attractive) and which is changed by themselves (agents increase the value of the potential field at their positions). At least most of the irregular and complex patterns are transient. The patterns found during the transient are more complex than those the system converges to. Still, this transient behaviour is relevant. We empirically investigate the transient times in dependence of several system parameters and give examples.</dcterms:abstract> <dcterms:issued>2012</dcterms:issued> <dc:contributor>Schmickl, Thomas</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-09-08T11:03:07Z</dc:date> <dc:language>eng</dc:language> <dc:creator>Schmickl, Thomas</dc:creator> <dc:contributor>Crailsheim, Karl</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:creator>Hamann, Heiko</dc:creator> <dc:creator>Crailsheim, Karl</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>Hamann, Heiko</dc:contributor> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Ja