Honeybee-like collective decision making in a kilobot swarm

Autores
March Pons, David; Múgica, Julia; Ferrero, Ezequiel E.; Miguel, M. Carmen
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Drawing inspiration from honeybee swarms’ nest-site selection process, we assess the ability of a kilobotrobot swarm to replicate this captivating example of collective decision making. Honeybees locate the optimalsite for their new nest by aggregating information about potential locations and exchanging it through theirwaggle dance. The complexity and elegance of solving this problem rely on two key abilities of scout honey-bees: self-discovery and imitation, symbolizing independence and interdependence, respectively. We employa mathematical model to represent this nest-site selection problem and program our kilobots to follow itsrules. Our experiments demonstrate that the kilobot swarm can collectively reach consensus decisions in adecentralized manner, akin to honeybees. However, the strength of this consensus depends not only on theinterplay between independence and interdependence but also on critical factors such as swarm density and themotion of kilobots. These factors enable the formation of a percolated communication network, through whicheach robot can receive information beyond its immediate vicinity. By shedding light on this crucial layer ofcomplexity—the crowding and mobility conditions during the decision making—we emphasize the significanceof factors typically overlooked but essential to living systems and life itself.
Fil: March Pons, David. Universidad Politécnica de Catalunya; España
Fil: Múgica, Julia. Universidad Politécnica de Catalunya; España
Fil: Ferrero, Ezequiel E.. Universidad de Barcelona. Facultad de Física; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología - Nodo Bariloche | Comisión Nacional de Energía Atómica. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología - Nodo Bariloche; Argentina
Fil: Miguel, M. Carmen. Universidad de Barcelona. Facultad de Física; España
Materia
Animal behavior, social interactions & emergent phenomena
Percolation
Communication networks
Decision making models
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/264256
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Honeybee-like collective decision making in a kilobot swarmMarch Pons, DavidMúgica, JuliaFerrero, Ezequiel E.Miguel, M. CarmenAnimal behavior, social interactions & emergent phenomenaPercolationCommunication networksDecision making modelshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Drawing inspiration from honeybee swarms’ nest-site selection process, we assess the ability of a kilobotrobot swarm to replicate this captivating example of collective decision making. Honeybees locate the optimalsite for their new nest by aggregating information about potential locations and exchanging it through theirwaggle dance. The complexity and elegance of solving this problem rely on two key abilities of scout honey-bees: self-discovery and imitation, symbolizing independence and interdependence, respectively. We employa mathematical model to represent this nest-site selection problem and program our kilobots to follow itsrules. Our experiments demonstrate that the kilobot swarm can collectively reach consensus decisions in adecentralized manner, akin to honeybees. However, the strength of this consensus depends not only on theinterplay between independence and interdependence but also on critical factors such as swarm density and themotion of kilobots. These factors enable the formation of a percolated communication network, through whicheach robot can receive information beyond its immediate vicinity. By shedding light on this crucial layer ofcomplexity—the crowding and mobility conditions during the decision making—we emphasize the significanceof factors typically overlooked but essential to living systems and life itself.Fil: March Pons, David. Universidad Politécnica de Catalunya; EspañaFil: Múgica, Julia. Universidad Politécnica de Catalunya; EspañaFil: Ferrero, Ezequiel E.. Universidad de Barcelona. Facultad de Física; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología - Nodo Bariloche | Comisión Nacional de Energía Atómica. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología - Nodo Bariloche; ArgentinaFil: Miguel, M. Carmen. Universidad de Barcelona. Facultad de Física; EspañaAmerican Physical Society2024-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/264256March Pons, David; Múgica, Julia; Ferrero, Ezequiel E.; Miguel, M. Carmen; Honeybee-like collective decision making in a kilobot swarm; American Physical Society; Physical Review Research; 6; 3; 8-2024; 1-232643-1564CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.aps.org/doi/10.1103/PhysRevResearch.6.033149info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevResearch.6.033149info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:42:57Zoai:ri.conicet.gov.ar:11336/264256instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:42:57.718CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Honeybee-like collective decision making in a kilobot swarm
title Honeybee-like collective decision making in a kilobot swarm
spellingShingle Honeybee-like collective decision making in a kilobot swarm
March Pons, David
Animal behavior, social interactions & emergent phenomena
Percolation
Communication networks
Decision making models
title_short Honeybee-like collective decision making in a kilobot swarm
title_full Honeybee-like collective decision making in a kilobot swarm
title_fullStr Honeybee-like collective decision making in a kilobot swarm
title_full_unstemmed Honeybee-like collective decision making in a kilobot swarm
title_sort Honeybee-like collective decision making in a kilobot swarm
dc.creator.none.fl_str_mv March Pons, David
Múgica, Julia
Ferrero, Ezequiel E.
Miguel, M. Carmen
author March Pons, David
author_facet March Pons, David
Múgica, Julia
Ferrero, Ezequiel E.
Miguel, M. Carmen
author_role author
author2 Múgica, Julia
Ferrero, Ezequiel E.
Miguel, M. Carmen
author2_role author
author
author
dc.subject.none.fl_str_mv Animal behavior, social interactions & emergent phenomena
Percolation
Communication networks
Decision making models
topic Animal behavior, social interactions & emergent phenomena
Percolation
Communication networks
Decision making models
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Drawing inspiration from honeybee swarms’ nest-site selection process, we assess the ability of a kilobotrobot swarm to replicate this captivating example of collective decision making. Honeybees locate the optimalsite for their new nest by aggregating information about potential locations and exchanging it through theirwaggle dance. The complexity and elegance of solving this problem rely on two key abilities of scout honey-bees: self-discovery and imitation, symbolizing independence and interdependence, respectively. We employa mathematical model to represent this nest-site selection problem and program our kilobots to follow itsrules. Our experiments demonstrate that the kilobot swarm can collectively reach consensus decisions in adecentralized manner, akin to honeybees. However, the strength of this consensus depends not only on theinterplay between independence and interdependence but also on critical factors such as swarm density and themotion of kilobots. These factors enable the formation of a percolated communication network, through whicheach robot can receive information beyond its immediate vicinity. By shedding light on this crucial layer ofcomplexity—the crowding and mobility conditions during the decision making—we emphasize the significanceof factors typically overlooked but essential to living systems and life itself.
Fil: March Pons, David. Universidad Politécnica de Catalunya; España
Fil: Múgica, Julia. Universidad Politécnica de Catalunya; España
Fil: Ferrero, Ezequiel E.. Universidad de Barcelona. Facultad de Física; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología - Nodo Bariloche | Comisión Nacional de Energía Atómica. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología. Unidad Ejecutora Instituto de Nanociencia y Nanotecnología - Nodo Bariloche; Argentina
Fil: Miguel, M. Carmen. Universidad de Barcelona. Facultad de Física; España
description Drawing inspiration from honeybee swarms’ nest-site selection process, we assess the ability of a kilobotrobot swarm to replicate this captivating example of collective decision making. Honeybees locate the optimalsite for their new nest by aggregating information about potential locations and exchanging it through theirwaggle dance. The complexity and elegance of solving this problem rely on two key abilities of scout honey-bees: self-discovery and imitation, symbolizing independence and interdependence, respectively. We employa mathematical model to represent this nest-site selection problem and program our kilobots to follow itsrules. Our experiments demonstrate that the kilobot swarm can collectively reach consensus decisions in adecentralized manner, akin to honeybees. However, the strength of this consensus depends not only on theinterplay between independence and interdependence but also on critical factors such as swarm density and themotion of kilobots. These factors enable the formation of a percolated communication network, through whicheach robot can receive information beyond its immediate vicinity. By shedding light on this crucial layer ofcomplexity—the crowding and mobility conditions during the decision making—we emphasize the significanceof factors typically overlooked but essential to living systems and life itself.
publishDate 2024
dc.date.none.fl_str_mv 2024-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/264256
March Pons, David; Múgica, Julia; Ferrero, Ezequiel E.; Miguel, M. Carmen; Honeybee-like collective decision making in a kilobot swarm; American Physical Society; Physical Review Research; 6; 3; 8-2024; 1-23
2643-1564
CONICET Digital
CONICET
url http://hdl.handle.net/11336/264256
identifier_str_mv March Pons, David; Múgica, Julia; Ferrero, Ezequiel E.; Miguel, M. Carmen; Honeybee-like collective decision making in a kilobot swarm; American Physical Society; Physical Review Research; 6; 3; 8-2024; 1-23
2643-1564
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://link.aps.org/doi/10.1103/PhysRevResearch.6.033149
info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevResearch.6.033149
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Physical Society
publisher.none.fl_str_mv American Physical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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