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dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorPérez Lancho, María Belén 
dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorZato Domínguez, Davinia Carolina 
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-06T09:15:05Z
dc.date.available2017-09-06T09:15:05Z
dc.date.issued2010
dc.identifier.citationHybrid Artificial Intelligence Systems Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 6077, pp. 444-451.
dc.identifier.isbn978-3-642-13802-7 (Print) / 978-3-642-13803-4 (Online)
dc.identifier.issn0302-9743 (Print) / 1611-3349 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134944
dc.description.abstractEach organization of agents needs to be supported by a coordinated effort that explicitly determines how the agents should be organized and carry out the actions and tasks assigned to them. The interactions of a multi-agent system cannot be related only to the agent and their communication skills, if not that it’s necessary to use the concepts of organizational engineering. This research presents a new global coordination model for an agent organization. The innovation of the model consists of the dynamic and adaptive planning capability to distribute tasks among the agent members of the organization as effectively as possible.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleSelf-adaptive Coordination for Organizations of Agents in Information Fusion Environments
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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