Complex network representation of multiagent systems with cooperative and competitive interactions

Autores
Caram, Leonidas Facundo; Caiafa, Cesar Federico; Proto, Araceli Noemi
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The dynamic behavior of Multi-Agent Systems (MAS) is analyzed in the context of a modified Lotka-Volterra model. The interaction strength is determined by the difference of agent sizes: as the difference increases, the interaction is weaker. Competitive and cooperative scenarios are analyzed, showing clusters of agents in the stationary state. However, meantime in the competitive scenario the agent sizes are constrained to be non greater than the capacity value (β = 1), in the cooperative scenario, they are allowed to exceed such capacity making clear the advantages of cooperation. The complex network representation is introduced in order to enhance the role of agent sizes and their one-on-one interactions in the dynamic behavior of the system.
Fil: Caram, Leonidas Facundo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Computación. Laboratorio de Sistemas Complejos; Argentina
Fil: Caiafa, Cesar Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Instituto Argentino de Radioastronomia (i); Argentina
Fil: Proto, Araceli Noemi. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Computación. Laboratorio de Sistemas Complejos; Argentina
Materia
Multiagent System
Non lineal dynamics
Dynamic Interaction
Peer-to-Peer interaction
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/4644
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/4644
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Complex network representation of multiagent systems with cooperative and competitive interactionsCaram, Leonidas FacundoCaiafa, Cesar FedericoProto, Araceli NoemiMultiagent SystemNon lineal dynamicsDynamic InteractionPeer-to-Peer interactionhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The dynamic behavior of Multi-Agent Systems (MAS) is analyzed in the context of a modified Lotka-Volterra model. The interaction strength is determined by the difference of agent sizes: as the difference increases, the interaction is weaker. Competitive and cooperative scenarios are analyzed, showing clusters of agents in the stationary state. However, meantime in the competitive scenario the agent sizes are constrained to be non greater than the capacity value (β = 1), in the cooperative scenario, they are allowed to exceed such capacity making clear the advantages of cooperation. The complex network representation is introduced in order to enhance the role of agent sizes and their one-on-one interactions in the dynamic behavior of the system.Fil: Caram, Leonidas Facundo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Computación. Laboratorio de Sistemas Complejos; ArgentinaFil: Caiafa, Cesar Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Instituto Argentino de Radioastronomia (i); ArgentinaFil: Proto, Araceli Noemi. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Computación. Laboratorio de Sistemas Complejos; ArgentinaAccademia Peloritana dei Pericolanti2014-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4644Caram, Leonidas Facundo; Caiafa, Cesar Federico; Proto, Araceli Noemi; Complex network representation of multiagent systems with cooperative and competitive interactions; Accademia Peloritana dei Pericolanti; Atti della Accademia Peloritana dei Pericolanti; 92; Supl. 1; 4-2014; 1-101825-1242enginfo:eu-repo/semantics/altIdentifier/doi/10.1478/AAPP.92S1B2info:eu-repo/semantics/altIdentifier/url/http://cab.unime.it/journals/index.php/AAPP/article/view/AAPP.92S1B2info:eu-repo/semantics/altIdentifier/issn/1825-1242info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:01:03Zoai:ri.conicet.gov.ar:11336/4644instacron: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:34982025-10-15 15:01:04.136CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Complex network representation of multiagent systems with cooperative and competitive interactions
title Complex network representation of multiagent systems with cooperative and competitive interactions
spellingShingle Complex network representation of multiagent systems with cooperative and competitive interactions
Caram, Leonidas Facundo
Multiagent System
Non lineal dynamics
Dynamic Interaction
Peer-to-Peer interaction
title_short Complex network representation of multiagent systems with cooperative and competitive interactions
title_full Complex network representation of multiagent systems with cooperative and competitive interactions
title_fullStr Complex network representation of multiagent systems with cooperative and competitive interactions
title_full_unstemmed Complex network representation of multiagent systems with cooperative and competitive interactions
title_sort Complex network representation of multiagent systems with cooperative and competitive interactions
dc.creator.none.fl_str_mv Caram, Leonidas Facundo
Caiafa, Cesar Federico
Proto, Araceli Noemi
author Caram, Leonidas Facundo
author_facet Caram, Leonidas Facundo
Caiafa, Cesar Federico
Proto, Araceli Noemi
author_role author
author2 Caiafa, Cesar Federico
Proto, Araceli Noemi
author2_role author
author
dc.subject.none.fl_str_mv Multiagent System
Non lineal dynamics
Dynamic Interaction
Peer-to-Peer interaction
topic Multiagent System
Non lineal dynamics
Dynamic Interaction
Peer-to-Peer interaction
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The dynamic behavior of Multi-Agent Systems (MAS) is analyzed in the context of a modified Lotka-Volterra model. The interaction strength is determined by the difference of agent sizes: as the difference increases, the interaction is weaker. Competitive and cooperative scenarios are analyzed, showing clusters of agents in the stationary state. However, meantime in the competitive scenario the agent sizes are constrained to be non greater than the capacity value (β = 1), in the cooperative scenario, they are allowed to exceed such capacity making clear the advantages of cooperation. The complex network representation is introduced in order to enhance the role of agent sizes and their one-on-one interactions in the dynamic behavior of the system.
Fil: Caram, Leonidas Facundo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Computación. Laboratorio de Sistemas Complejos; Argentina
Fil: Caiafa, Cesar Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Instituto Argentino de Radioastronomia (i); Argentina
Fil: Proto, Araceli Noemi. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Computación. Laboratorio de Sistemas Complejos; Argentina
description The dynamic behavior of Multi-Agent Systems (MAS) is analyzed in the context of a modified Lotka-Volterra model. The interaction strength is determined by the difference of agent sizes: as the difference increases, the interaction is weaker. Competitive and cooperative scenarios are analyzed, showing clusters of agents in the stationary state. However, meantime in the competitive scenario the agent sizes are constrained to be non greater than the capacity value (β = 1), in the cooperative scenario, they are allowed to exceed such capacity making clear the advantages of cooperation. The complex network representation is introduced in order to enhance the role of agent sizes and their one-on-one interactions in the dynamic behavior of the system.
publishDate 2014
dc.date.none.fl_str_mv 2014-04
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/11336/4644
Caram, Leonidas Facundo; Caiafa, Cesar Federico; Proto, Araceli Noemi; Complex network representation of multiagent systems with cooperative and competitive interactions; Accademia Peloritana dei Pericolanti; Atti della Accademia Peloritana dei Pericolanti; 92; Supl. 1; 4-2014; 1-10
1825-1242
url http://hdl.handle.net/11336/4644
identifier_str_mv Caram, Leonidas Facundo; Caiafa, Cesar Federico; Proto, Araceli Noemi; Complex network representation of multiagent systems with cooperative and competitive interactions; Accademia Peloritana dei Pericolanti; Atti della Accademia Peloritana dei Pericolanti; 92; Supl. 1; 4-2014; 1-10
1825-1242
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1478/AAPP.92S1B2
info:eu-repo/semantics/altIdentifier/url/http://cab.unime.it/journals/index.php/AAPP/article/view/AAPP.92S1B2
info:eu-repo/semantics/altIdentifier/issn/1825-1242
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Accademia Peloritana dei Pericolanti
publisher.none.fl_str_mv Accademia Peloritana dei Pericolanti
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 13.22299

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