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dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.contributor.authorPellicer Figueras, María A.
dc.date.accessioned2017-09-05T11:02:22Z
dc.date.available2017-09-05T11:02:22Z
dc.date.issued2005
dc.identifier.citationInternational Journal of Computer Science & Applications . Volumen 2 (1), pp. 25-32. Technomathematics Research Foundation.
dc.identifier.issn0972-9038 (Online)
dc.identifier.urihttp://www.tmrfindia.org/ijcsa/V2I15.pdf
dc.identifier.urihttp://hdl.handle.net/10366/134454
dc.description.abstractThis paper presents a model of an agent that combines both BDI and CBR techniques. We discuss the development of this kind of agent and present a case study. We use a real application of a wireless tourist guide system to illustrate the proposal. The Beliefs-Desires-Intentions (BDI) approach to design deliberative agents can be improved with the learning capabilities of Case Base Reasoning (CBR) techniques.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherTechnomathematics Research Foundation
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleDevelopment of CBR-BDI Agents
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported