Algorithmic requirements for swarm intelligence in differently coupled collective systems
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
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)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
STRADNER, 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.2013.01.011BibTex
@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>