Self-organized pattern formation in a swarm system as a transient phenomenon of non-linear dynamics
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
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)
Schlagwörter
Konferenz
Rezension
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. 2012, 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>