Cooperative peer-to-peer multiagent based systems

Autores
Caram, Leonidas Facundo; Caiafa, Cesar Federico; Ausloos, M.; Proto, Araceli Noemi
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A multiagent based model for a system of cooperative agents aiming at growth is proposed. This is based on a set of generalized Verhulst-Lotka-Volterra differential equations. In this study, strong cooperation is allowed among agents having similar sizes, and weak cooperation if agents have markedly different “sizes”, thus establishing a peer-to-peer modulated interaction scheme. A rigorous analysis of the stable configurations is presented first examining the fixed points of the system, next determining their stability as a function of the model parameters. It is found that the agents are self-organizing into clusters. Furthermore, it is demonstrated that, depending on parameter values, multiple stable configurations can coexist. It occurs that only one of them always emerges with probability close to one, because its associated attractor dominates over the rest. This is shown through numerical integrations and simulations, after analytic developments. In contrast to the competitive case, agents are able to increase their capacity beyond the no-interaction case limit. In other words, when some collaborative partnership among a relatively small number of partners takes place, all agents act in good faith prioritizing the common good, when receiving a mutual benefit allowing them to surpass their capacity.
Fil: Caram, Leonidas Facundo. Universidad de Buenos Aires. Facultad de Ingenieria. Departamento de Electronica; Argentina
Fil: Caiafa, Cesar Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto Argentino de Radioastronomia (i); Argentina
Fil: Ausloos, M.. University of Leicester; Reino Unido. Group for Research on Applications of Physics in Economy and Sociology; Bélgica
Fil: Proto, Araceli Noemi. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Materia
Complex Systems
Lotka-Volterra Model
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:11336/5831
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Cooperative peer-to-peer multiagent based systemsCaram, Leonidas FacundoCaiafa, Cesar FedericoAusloos, M.Proto, Araceli NoemiComplex SystemsLotka-Volterra Modelhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1A multiagent based model for a system of cooperative agents aiming at growth is proposed. This is based on a set of generalized Verhulst-Lotka-Volterra differential equations. In this study, strong cooperation is allowed among agents having similar sizes, and weak cooperation if agents have markedly different “sizes”, thus establishing a peer-to-peer modulated interaction scheme. A rigorous analysis of the stable configurations is presented first examining the fixed points of the system, next determining their stability as a function of the model parameters. It is found that the agents are self-organizing into clusters. Furthermore, it is demonstrated that, depending on parameter values, multiple stable configurations can coexist. It occurs that only one of them always emerges with probability close to one, because its associated attractor dominates over the rest. This is shown through numerical integrations and simulations, after analytic developments. In contrast to the competitive case, agents are able to increase their capacity beyond the no-interaction case limit. In other words, when some collaborative partnership among a relatively small number of partners takes place, all agents act in good faith prioritizing the common good, when receiving a mutual benefit allowing them to surpass their capacity.Fil: Caram, Leonidas Facundo. Universidad de Buenos Aires. Facultad de Ingenieria. Departamento de Electronica; ArgentinaFil: Caiafa, Cesar Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto Argentino de Radioastronomia (i); ArgentinaFil: Ausloos, M.. University of Leicester; Reino Unido. Group for Research on Applications of Physics in Economy and Sociology; BélgicaFil: Proto, Araceli Noemi. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaAmerican Physical Society2015-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/5831Caram, Leonidas Facundo; Caiafa, Cesar Federico; Ausloos, M.; Proto, Araceli Noemi; Cooperative peer-to-peer multiagent based systems; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 92; 2; 8-2015; 022805-0228051539-3755enginfo:eu-repo/semantics/altIdentifier/url/http://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.022805info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.92.022805info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:03:27Zoai:ri.conicet.gov.ar:11336/5831instacron: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 15:03:27.85CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Cooperative peer-to-peer multiagent based systems
title Cooperative peer-to-peer multiagent based systems
spellingShingle Cooperative peer-to-peer multiagent based systems
Caram, Leonidas Facundo
Complex Systems
Lotka-Volterra Model
title_short Cooperative peer-to-peer multiagent based systems
title_full Cooperative peer-to-peer multiagent based systems
title_fullStr Cooperative peer-to-peer multiagent based systems
title_full_unstemmed Cooperative peer-to-peer multiagent based systems
title_sort Cooperative peer-to-peer multiagent based systems
dc.creator.none.fl_str_mv Caram, Leonidas Facundo
Caiafa, Cesar Federico
Ausloos, M.
Proto, Araceli Noemi
author Caram, Leonidas Facundo
author_facet Caram, Leonidas Facundo
Caiafa, Cesar Federico
Ausloos, M.
Proto, Araceli Noemi
author_role author
author2 Caiafa, Cesar Federico
Ausloos, M.
Proto, Araceli Noemi
author2_role author
author
author
dc.subject.none.fl_str_mv Complex Systems
Lotka-Volterra Model
topic Complex Systems
Lotka-Volterra Model
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A multiagent based model for a system of cooperative agents aiming at growth is proposed. This is based on a set of generalized Verhulst-Lotka-Volterra differential equations. In this study, strong cooperation is allowed among agents having similar sizes, and weak cooperation if agents have markedly different “sizes”, thus establishing a peer-to-peer modulated interaction scheme. A rigorous analysis of the stable configurations is presented first examining the fixed points of the system, next determining their stability as a function of the model parameters. It is found that the agents are self-organizing into clusters. Furthermore, it is demonstrated that, depending on parameter values, multiple stable configurations can coexist. It occurs that only one of them always emerges with probability close to one, because its associated attractor dominates over the rest. This is shown through numerical integrations and simulations, after analytic developments. In contrast to the competitive case, agents are able to increase their capacity beyond the no-interaction case limit. In other words, when some collaborative partnership among a relatively small number of partners takes place, all agents act in good faith prioritizing the common good, when receiving a mutual benefit allowing them to surpass their capacity.
Fil: Caram, Leonidas Facundo. Universidad de Buenos Aires. Facultad de Ingenieria. Departamento de Electronica; Argentina
Fil: Caiafa, Cesar Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto Argentino de Radioastronomia (i); Argentina
Fil: Ausloos, M.. University of Leicester; Reino Unido. Group for Research on Applications of Physics in Economy and Sociology; Bélgica
Fil: Proto, Araceli Noemi. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
description A multiagent based model for a system of cooperative agents aiming at growth is proposed. This is based on a set of generalized Verhulst-Lotka-Volterra differential equations. In this study, strong cooperation is allowed among agents having similar sizes, and weak cooperation if agents have markedly different “sizes”, thus establishing a peer-to-peer modulated interaction scheme. A rigorous analysis of the stable configurations is presented first examining the fixed points of the system, next determining their stability as a function of the model parameters. It is found that the agents are self-organizing into clusters. Furthermore, it is demonstrated that, depending on parameter values, multiple stable configurations can coexist. It occurs that only one of them always emerges with probability close to one, because its associated attractor dominates over the rest. This is shown through numerical integrations and simulations, after analytic developments. In contrast to the competitive case, agents are able to increase their capacity beyond the no-interaction case limit. In other words, when some collaborative partnership among a relatively small number of partners takes place, all agents act in good faith prioritizing the common good, when receiving a mutual benefit allowing them to surpass their capacity.
publishDate 2015
dc.date.none.fl_str_mv 2015-08
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/11336/5831
Caram, Leonidas Facundo; Caiafa, Cesar Federico; Ausloos, M.; Proto, Araceli Noemi; Cooperative peer-to-peer multiagent based systems; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 92; 2; 8-2015; 022805-022805
1539-3755
url http://hdl.handle.net/11336/5831
identifier_str_mv Caram, Leonidas Facundo; Caiafa, Cesar Federico; Ausloos, M.; Proto, Araceli Noemi; Cooperative peer-to-peer multiagent based systems; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 92; 2; 8-2015; 022805-022805
1539-3755
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.022805
info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.92.022805
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
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 13.22299

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