Towards Swarm Calculus : Universal Properties of Swarm Performance and Collective Decisions
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
The search for generally applicable methods in swarm intelligence aims to gain new insights about natural swarms and to develop design methodologies for artificial swarms. The ideal would be a ‘swarm calculus’ that allows to calculate key features such as expected swarm performance and robustness on the basis of a few parameters. A path towards this ideal is to find methods and models that have maximal generality. We report two models that might be examples of exceptional generality. First, we present an abstract model that describes the performance of a swarm depending on the swarm density based on the dichotomy between cooperation and interference. Second, we give an abstract model for decision making that is inspired by urn models. A parameter, that controls the feedback based on the current consensus, allows to understand the effects of an increasing probability for positive feedback over time in a decision making system.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
HAMANN, Heiko, 2012. Towards Swarm Calculus : Universal Properties of Swarm Performance and Collective Decisions. Swarm Intelligence : 8th International Conference, ANTS 2012. Brussels, Belgium, 12. Sept. 2012 - 14. Sept. 2012. In: DORIGO, Marco, ed., Mauro BIRATTARI, ed., Christian BLUM, ed. and others. Swarm Intelligence : 8th International Conference, ANTS 2012, Proceedings. Berlin: Springer, 2012, pp. 168-179. Lecture Notes in Computer Science, LNCS. 7461. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-642-32649-3. Available under: doi: 10.1007/978-3-642-32650-9_15BibTex
@inproceedings{Hamann2012Towar-59915, year={2012}, doi={10.1007/978-3-642-32650-9_15}, title={Towards Swarm Calculus : Universal Properties of Swarm Performance and Collective Decisions}, number={7461}, isbn={978-3-642-32649-3}, issn={0302-9743}, publisher={Springer}, address={Berlin}, series={Lecture Notes in Computer Science, LNCS}, booktitle={Swarm Intelligence : 8th International Conference, ANTS 2012, Proceedings}, pages={168--179}, editor={Dorigo, Marco and Birattari, Mauro and Blum, Christian}, author={Hamann, Heiko} }
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/123456789/59915"> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:issued>2012</dcterms:issued> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:language>eng</dc:language> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/59915"/> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-24T10:41:29Z</dcterms:available> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-24T10:41:29Z</dc:date> <dc:creator>Hamann, Heiko</dc:creator> <dcterms:title>Towards Swarm Calculus : Universal Properties of Swarm Performance and Collective Decisions</dcterms:title> <dcterms:abstract xml:lang="eng">The search for generally applicable methods in swarm intelligence aims to gain new insights about natural swarms and to develop design methodologies for artificial swarms. The ideal would be a ‘swarm calculus’ that allows to calculate key features such as expected swarm performance and robustness on the basis of a few parameters. A path towards this ideal is to find methods and models that have maximal generality. We report two models that might be examples of exceptional generality. First, we present an abstract model that describes the performance of a swarm depending on the swarm density based on the dichotomy between cooperation and interference. Second, we give an abstract model for decision making that is inspired by urn models. A parameter, that controls the feedback based on the current consensus, allows to understand the effects of an increasing probability for positive feedback over time in a decision making system.</dcterms:abstract> <dc:rights>terms-of-use</dc:rights> <dc:contributor>Hamann, Heiko</dc:contributor> </rdf:Description> </rdf:RDF>