Publikation:

Algorithmic requirements for swarm intelligence in differently coupled collective systems

Vorschaubild

Dateien

Stradner_2-csu5yibzdg4e4.pdf
Stradner_2-csu5yibzdg4e4.pdfGröße: 2.39 MBDownloads: 45

Datum

2013

Autor:innen

Stradner, Jürgen
Thenius, Ronald
Zahadat, Payam
Crailsheim, Karl
Schmickl, Thomas

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-2-csu5yibzdg4e4
DOI (zitierfähiger Link)
https://doi.org/10.1016/j.chaos.2013.01.011
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
Attribution-NonCommercial-NoDerivs 3.0 Unported

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Hybrid

Sammlungen

Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Chaos, Solitons & Fractals. Elsevier. 2013, 50, pp. 100-114. ISSN 0960-0779. eISSN 1873-2887. Available under: doi: 10.1016/j.chaos.2013.01.011

Zusammenfassung

Swarm systems are based on intermediate connectivity between individuals and dynamic neighborhoods. In natural swarms self-organizing principles bring their agents to that favorable level of connectivity. They serve as interesting sources of inspiration for control algorithms in swarm robotics on the one hand, and in modular robotics on the other hand. In this paper we demonstrate and compare a set of bio-inspired algorithms that are used to control the collective behavior of swarms and modular systems: BEECLUST, AHHS (hormone controllers), FGRN (fractal genetic regulatory networks), and VE (virtual embryogenesis). We demonstrate how such bio-inspired control paradigms bring their host systems to a level of intermediate connectivity, what delivers sufficient robustness to these systems for collective decentralized control. In parallel, these algorithms allow sufficient volatility of shared information within these systems to help preventing local optima and deadlock situations, this way keeping those systems flexible and adaptive in dynamic non-deterministic environments.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690STRADNER, Jürgen, Ronald THENIUS, Payam ZAHADAT, Heiko HAMANN, Karl CRAILSHEIM, Thomas SCHMICKL, 2013. Algorithmic requirements for swarm intelligence in differently coupled collective systems. In: Chaos, Solitons & Fractals. Elsevier. 2013, 50, pp. 100-114. ISSN 0960-0779. eISSN 1873-2887. Available under: doi: 10.1016/j.chaos.2013.01.011
BibTex
@article{Stradner2013-05Algor-59792,
  year={2013},
  doi={10.1016/j.chaos.2013.01.011},
  title={Algorithmic requirements for swarm intelligence in differently coupled collective systems},
  volume={50},
  issn={0960-0779},
  journal={Chaos, Solitons & Fractals},
  pages={100--114},
  author={Stradner, Jürgen and Thenius, Ronald and Zahadat, Payam and Hamann, Heiko and Crailsheim, Karl and Schmickl, Thomas}
}
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/123456789/59792">
    <dcterms:title>Algorithmic requirements for swarm intelligence in differently coupled collective systems</dcterms:title>
    <dcterms:abstract xml:lang="eng">Swarm systems are based on intermediate connectivity between individuals and dynamic neighborhoods. In natural swarms self-organizing principles bring their agents to that favorable level of connectivity. They serve as interesting sources of inspiration for control algorithms in swarm robotics on the one hand, and in modular robotics on the other hand. In this paper we demonstrate and compare a set of bio-inspired algorithms that are used to control the collective behavior of swarms and modular systems: BEECLUST, AHHS (hormone controllers), FGRN (fractal genetic regulatory networks), and VE (virtual embryogenesis). We demonstrate how such bio-inspired control paradigms bring their host systems to a level of intermediate connectivity, what delivers sufficient robustness to these systems for collective decentralized control. In parallel, these algorithms allow sufficient volatility of shared information within these systems to help preventing local optima and deadlock situations, this way keeping those systems flexible and adaptive in dynamic non-deterministic environments.</dcterms:abstract>
    <dc:creator>Crailsheim, Karl</dc:creator>
    <dc:creator>Thenius, Ronald</dc:creator>
    <dc:creator>Schmickl, Thomas</dc:creator>
    <dc:contributor>Stradner, Jürgen</dc:contributor>
    <dc:language>eng</dc:language>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-18T13:31:04Z</dcterms:available>
    <dc:contributor>Thenius, Ronald</dc:contributor>
    <dc:contributor>Schmickl, Thomas</dc:contributor>
    <dc:creator>Hamann, Heiko</dc:creator>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/3.0/"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59792/1/Stradner_2-csu5yibzdg4e4.pdf"/>
    <dc:contributor>Hamann, Heiko</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/59792"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Stradner, Jürgen</dc:creator>
    <dc:creator>Zahadat, Payam</dc:creator>
    <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Unported</dc:rights>
    <dc:contributor>Crailsheim, Karl</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-18T13:31:04Z</dc:date>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59792/1/Stradner_2-csu5yibzdg4e4.pdf"/>
    <dc:contributor>Zahadat, Payam</dc:contributor>
    <dcterms:issued>2013-05</dcterms:issued>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Unbekannt
Diese Publikation teilen