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dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorDe Paz, Juan F. 
dc.contributor.authorTapia Martínez, Dante I.
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-06T09:15:41Z
dc.date.available2017-09-06T09:15:41Z
dc.date.issued2008
dc.identifier.citation3rd European Workshop on Case-Based Reasoning and Context-Awareness (CaCoA). ECCBR 2008. pp. 43-52.
dc.identifier.isbn978-3-88120-903-8
dc.identifier.urihttp://hdl.handle.net/10366/135009
dc.description.abstractThis paper presents how a distributed multi-agent architecture facilitates the integration of services and applications to optimize the performance of a Case-Based Planning mechanism. This mechanism has been modelled as a service and is part of a multi-agent system aimed at enhancing health care for Alzheimer patients in geriatric residences. Several tests have been done to demonstrate that this approach is adequate to build complex systems with distributed functionalities.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherMartin Schaaf (ed.)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleUsing a Distributed Multi-Agent Architecture for Optimizing the Perfomance of a Case-Based Planning Mechanism
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
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