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dc.contributor.authorAguirre, Carlos
dc.contributor.authorMartinez-Muñoz, Jaime
dc.contributor.authorCorbacho Abelaira, Fernando
dc.contributor.authorHuerta, Ramón
dc.contributor.otherUAM. Departamento de Ingeniería Informáticaes_ES
dc.date.accessioned2015-03-17T19:19:10Z
dc.date.available2015-03-17T19:19:10Z
dc.date.issued2000
dc.identifier.citationProceedings of 11th International Workshop on Database and Expert Systems Applications, IEEE, 2000. 231-235en_US
dc.identifier.isbn0-7695-0680-1
dc.identifier.issn1529-4188
dc.identifier.urihttp://hdl.handle.net/10486/664631
dc.descriptionPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. C. Aguirre, J. Martínez-Muñoz, F. Corbacho, and R. Huerta, "Small-world topology for multi-agent collaboration", 11th International Workshop on Database and Expert Systems Applications, London (United Kingdom), 2000, pp. 231 - 235en_US
dc.description.abstractThis paper studies a specific methodology for the design of different topologies in multi-agent networks with the central objective of maximizing agent collaboration. In order to obtain this feature we rely on the use of a recently discovered type of topology, namely the “small world” (SW) topology. This topology has been shown to present several advantages such as enhancement of signal-propagation speed computational power, and synchronizability. We have extended the analysis to multi-agent networks searching for the topologies that maximize the flow of entities (data, energy, goods, etc.) with different complexities in the behaviour of each agent in the networken_US
dc.description.sponsorshipWe thank the Dirección General de Enseñanza Superior e Investigación Científica for financial support (PB97- 1448)en_US
dc.format.extent6 pág.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.ispartofInternational Workshop on Database and Expert Systems Applicationsen_US
dc.rights© 2000 IEEEen_US
dc.subject.otherAgent collaborationen_US
dc.subject.otherMulti-agent collaborationen_US
dc.subject.otherSignal-propagation speed computational poweren_US
dc.subject.otherSmall-world topologyen_US
dc.titleSmall-world topology for multi-agent collaborationen_US
dc.typeconferenceObjecten
dc.typebookParten
dc.subject.ecienciaInformáticaes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1109/DEXA.2000.875032
dc.identifier.doi10.1109/DEXA.2000.875032
dc.identifier.publicationfirstpage231
dc.identifier.publicationlastpage235
dc.relation.eventdateSeptember 4-8, 2000en_US
dc.relation.eventnumber11
dc.relation.eventplaceLondon (United Kingdom)en_US
dc.relation.eventtitle11th International Workshop on Database and Expert Systems Applications, DEXA 2000en_US
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.contributor.groupNeurocomputación Biológica (ING EPS-005)es_ES
dc.rights.accessRightsopenAccessen
dc.authorUAMHuerta Rico, Ramón (259903)
dc.authorUAMCorbacho Abelaira , Fernando (267638)
dc.facultadUAMEscuela Politécnica Superior


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