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Towards building Agreement Spaces using consensus networks

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Towards building Agreement Spaces using consensus networks

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dc.contributor.author Rebollo Pedruelo, Miguel es_ES
dc.contributor.author Palomares Chust, Alberto es_ES
dc.contributor.author Carrascosa Casamayor, Carlos es_ES
dc.date.accessioned 2017-05-17T14:08:14Z
dc.date.available 2017-05-17T14:08:14Z
dc.date.issued 2016
dc.identifier.issn 0921-7126
dc.identifier.uri http://hdl.handle.net/10251/81294
dc.description AI Communications is a journal on Artificial Intelligence (AI) which has a close relationship to EurAI (European Association for Artificial Intelligence, formerly ECCAI). It covers the whole AI community: scientific institutions as well as commercial and industrial companies. es_ES
dc.description.abstract [EN] If a set of agents tries to reach an agreement, there will be an Agreement Space that models the maximum valid space based on the individual constraints of each agent regarding the terms of the agreement. This paper presents a possible distributed solution using a consensus algorithm. This algorithm is applied to the MAS acquaintances network to build an Agreement Space, which allows us to determine whether or not an agreement can be achieved. es_ES
dc.description.sponsorship This work is supported by CONSOLIDER-INGENIO 2010 under Grant CSD2007-00022 and TIN2012-36586-C03-01, PROMETEOII/2013/019 and PAID-06-11-2084 projects. en_EN
dc.language Inglés es_ES
dc.publisher IOS Press es_ES
dc.relation.ispartof AI Communications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Agreement es_ES
dc.subject Consensus es_ES
dc.subject Multi-agent Systems es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Towards building Agreement Spaces using consensus networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3233/AIC-150667
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CSD2007-00022/ES/Agreement Technologies/ / es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2013%2F019/ES/HUMBACE: HUMAN-LIKE COMPUTATIONAL MODELS FOR AGENT-BASED COMPUTATIONAL ECONOMICS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-11-2084/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-36586-C03-01/ES/SOCIEDADES HUMANO-AGENTE: DISEÑO, FORMACION Y COORDINACION/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.description.bibliographicCitation Rebollo Pedruelo, M.; Palomares Chust, A.; Carrascosa Casamayor, C. (2016). Towards building Agreement Spaces using consensus networks. AI Communications. 29(1):17-30. https://doi.org/10.3233/AIC-150667 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.3233/AIC-150667 es_ES
dc.description.upvformatpinicio 17 es_ES
dc.description.upvformatpfin 30 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 29 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 318354 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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