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dc.contributor.author
Caram, Leonidas Facundo
dc.contributor.author
Caiafa, Cesar Federico
dc.contributor.author
Ausloos, M.
dc.contributor.author
Proto, Araceli Noemi
dc.date.available
2016-05-24T19:54:55Z
dc.date.issued
2015-08
dc.identifier.citation
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
dc.identifier.issn
1539-3755
dc.identifier.uri
http://hdl.handle.net/11336/5831
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Physical Society
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Complex Systems
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Lotka-Volterra Model
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Otras Ciencias Físicas
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Cooperative peer-to-peer multiagent based systems
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-02-05T14:55:09Z
dc.journal.volume
92
dc.journal.number
2
dc.journal.pagination
022805-022805
dc.journal.pais
Estados Unidos
dc.journal.ciudad
New York
dc.description.fil
Fil: Caram, Leonidas Facundo. Universidad de Buenos Aires. Facultad de Ingenieria. Departamento de Electronica; Argentina
dc.description.fil
Fil: Caiafa, Cesar Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico la Plata. Instituto Argentino de Radioastronomia (i); Argentina
dc.description.fil
Fil: Ausloos, M.. University of Leicester; Reino Unido. Group for Research on Applications of Physics in Economy and Sociology; Bélgica
dc.description.fil
Fil: Proto, Araceli Noemi. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
dc.journal.title
Physical Review E: Statistical, Nonlinear and Soft Matter Physics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://journals.aps.org/pre/abstract/10.1103/PhysRevE.92.022805
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.92.022805
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1103/PhysRevE.92.022805
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