Towards Swarm Calculus : Universal Properties of Swarm Performance and Collective Decisions
Towards Swarm Calculus : Universal Properties of Swarm Performance and Collective Decisions
No Thumbnail Available
Files
There are no files associated with this item.
Date
2012
Authors
Editors
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
DOI (citable link)
International patent number
Link to the license
EU project number
Project
Open Access publication
Collections
Title in another language
Publication type
Contribution to a conference collection
Publication status
Published
Published in
Swarm Intelligence : 8th International Conference, ANTS 2012, Proceedings / Dorigo, Marco; Birattari, Mauro; Blum, Christian et al. (ed.). - Berlin : Springer, 2012. - (Lecture Notes in Computer Science, LNCS ; 7461). - pp. 168-179. - ISSN 0302-9743. - eISSN 1611-3349. - ISBN 978-3-642-32649-3
Abstract
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.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Positive Feedback, Collective Decision, Pitchfork Bifurcation, Swarm Size, Interference Function
Conference
Swarm Intelligence : 8th International Conference, ANTS 2012, Sep 12, 2012 - Sep 14, 2012, Brussels, Belgium
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
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, Sep 12, 2012 - Sep 14, 2012. In: DORIGO, Marco, ed., Mauro BIRATTARI, ed., Christian BLUM, ed. and others. Swarm Intelligence : 8th International Conference, ANTS 2012, Proceedings. Berlin:Springer, pp. 168-179. 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>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
No