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dc.contributor.authorHoz de la Hoz, Enrique de la 
dc.contributor.authorLópez Carmona, Miguel Ángel 
dc.contributor.authorKlein, Mark
dc.contributor.authorMarsá Maestre, Iván 
dc.date.accessioned2017-04-05T10:30:52Z
dc.date.available2017-04-05T10:30:52Z
dc.date.issued2012-06-04
dc.identifier.bibliographicCitationProceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, 2012, vol. 3, pp. 1259-1260
dc.identifier.isbn978-0-9817381-3-0
dc.identifier.urihttp://hdl.handle.net/10017/29077
dc.descriptionEleventh International Conference on Autonomous Agents and Multiagent Systems AAMAS 2012, , 04/06/2012-08/06/2012, Valencia, Españaen
dc.description.abstractWe propose a framework based on Hierarchical Clustering (HC) to perform multiagent negotiations where we can specify the type of agreements needed in terms of utility sharing among the agents.The proposed multi-round mediation process is based on the analysis of the agents" offers at each negotiation round and the generation of a social contract at each round as a feedback to the agents, which explore the negotiation space to generate new offers. This mechanism efficiently manages negotiations following predefined consensus policies avoiding zones of no agreementen
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.rightsInternational Foundation for Autonomous Agents and Multiagent Systemsen
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.titleHierarchical Clustering and Linguistic Mediation Rules for Multiagent Negotiationen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Automáticaes_ES
dc.date.updated2017-04-05T10:29:24Z
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.uxxiCC/0000017245
dc.identifier.publicationtitleProceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems
dc.identifier.publicationvolume3
dc.identifier.publicationlastpage1260
dc.identifier.publicationfirstpage1259


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