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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/5831
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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 Técnicas2025-09-29T10:06:33Zoai: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:34982025-09-29 10:06:34.268CONICET 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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1844613915745452032 |
score |
13.070432 |