Publikation: Potential of Heterogeneity in Collective Behaviors : A Case Study on Heterogeneous Swarms
Lade...
Dateien
Datum
2015
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
Open Access Green
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
CHEN, Qingliang, ed., Paolo TORRONI, ed., Serena VILLATA, ed., Jane HSU, ed., Andrea OMICINI, ed.. PRIMA 2015: Principles and Practice of Multi-Agent Systems : 18th International Conference, Bertinoro, Italy, October 26-30, 2015, Proceedings. Cham: Springer, 2015, pp. 201-217. Lecture Notes in Artificial Intelligence. 9387. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-25523-1. Available under: doi: 10.1007/978-3-319-25524-8_13
Zusammenfassung
Research in swarm robotics and collective behaviors is often focused on homogeneous swarms. However, heterogeneity in behaviors can be advantageous as we know, for example, from studies on social insects. Our objective is to study the hypothesis that there are potential advantages of heterogeneous swarms over homogeneous swarms in an aggregation scenario inspired by behaviors of juvenile honeybees. Even without task switching – that is, with predefined, static roles for certain swarm fractions – we find in our case study that heterogeneous swarms can outperform homogeneous swarms for a predetermined set of basic behaviors. We use methods of evolutionary computation to define behaviors imitating those found in honeybees (random walkers, wall followers, goal finders, immobile agents) and also to find well-adapted swarm fractions of different predetermined behaviors. Our results show that non-trivial distributions of behaviors give better aggregation performance.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Random Walker, Multiagent System, Behavior Type, Collective Behavior, Swarm Intelligence
Konferenz
PRIMA 2015 : 18th International Conference on Principles and Practice of Multi-Agent Systems, 26. Okt. 2015 - 30. Okt. 2015, Bertinoro, Italy
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
KENGYEL, Daniela, Heiko HAMANN, Payam ZAHADAT, Gerald RADSPIELER, Franz WOTAWA, Thomas SCHMICKL, 2015. Potential of Heterogeneity in Collective Behaviors : A Case Study on Heterogeneous Swarms. PRIMA 2015 : 18th International Conference on Principles and Practice of Multi-Agent Systems. Bertinoro, Italy, 26. Okt. 2015 - 30. Okt. 2015. In: CHEN, Qingliang, ed., Paolo TORRONI, ed., Serena VILLATA, ed., Jane HSU, ed., Andrea OMICINI, ed.. PRIMA 2015: Principles and Practice of Multi-Agent Systems : 18th International Conference, Bertinoro, Italy, October 26-30, 2015, Proceedings. Cham: Springer, 2015, pp. 201-217. Lecture Notes in Artificial Intelligence. 9387. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-25523-1. Available under: doi: 10.1007/978-3-319-25524-8_13BibTex
@inproceedings{Kengyel2015Poten-59834,
year={2015},
doi={10.1007/978-3-319-25524-8_13},
title={Potential of Heterogeneity in Collective Behaviors : A Case Study on Heterogeneous Swarms},
number={9387},
isbn={978-3-319-25523-1},
issn={0302-9743},
publisher={Springer},
address={Cham},
series={Lecture Notes in Artificial Intelligence},
booktitle={PRIMA 2015: Principles and Practice of Multi-Agent Systems : 18th International Conference, Bertinoro, Italy, October 26-30, 2015, Proceedings},
pages={201--217},
editor={Chen, Qingliang and Torroni, Paolo and Villata, Serena and Hsu, Jane and Omicini, Andrea},
author={Kengyel, Daniela and Hamann, Heiko and Zahadat, Payam and Radspieler, Gerald and Wotawa, Franz 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/123456789/59834">
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-20T09:00:33Z</dc:date>
<dcterms:issued>2015</dcterms:issued>
<dc:creator>Kengyel, Daniela</dc:creator>
<dc:creator>Hamann, Heiko</dc:creator>
<dc:contributor>Zahadat, Payam</dc:contributor>
<dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59834/1/Kengyel_2-1grkpkedhi1d51.pdf"/>
<dc:creator>Zahadat, Payam</dc:creator>
<dc:creator>Schmickl, Thomas</dc:creator>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:contributor>Radspieler, Gerald</dc:contributor>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dc:contributor>Hamann, Heiko</dc:contributor>
<dc:contributor>Wotawa, Franz</dc:contributor>
<dc:contributor>Schmickl, Thomas</dc:contributor>
<dc:language>eng</dc:language>
<bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/59834"/>
<dc:creator>Wotawa, Franz</dc:creator>
<dc:contributor>Kengyel, Daniela</dc:contributor>
<dcterms:abstract xml:lang="eng">Research in swarm robotics and collective behaviors is often focused on homogeneous swarms. However, heterogeneity in behaviors can be advantageous as we know, for example, from studies on social insects. Our objective is to study the hypothesis that there are potential advantages of heterogeneous swarms over homogeneous swarms in an aggregation scenario inspired by behaviors of juvenile honeybees. Even without task switching – that is, with predefined, static roles for certain swarm fractions – we find in our case study that heterogeneous swarms can outperform homogeneous swarms for a predetermined set of basic behaviors. We use methods of evolutionary computation to define behaviors imitating those found in honeybees (random walkers, wall followers, goal finders, immobile agents) and also to find well-adapted swarm fractions of different predetermined behaviors. Our results show that non-trivial distributions of behaviors give better aggregation performance.</dcterms:abstract>
<dcterms:title>Potential of Heterogeneity in Collective Behaviors : A Case Study on Heterogeneous Swarms</dcterms:title>
<dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
<dc:rights>terms-of-use</dc:rights>
<dc:creator>Radspieler, Gerald</dc:creator>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-20T09:00:33Z</dcterms:available>
<dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59834/1/Kengyel_2-1grkpkedhi1d51.pdf"/>
</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
