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dc.contributor.authorR. Laza
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-05T11:02:34Z
dc.date.available2017-09-05T11:02:34Z
dc.date.issued2001
dc.identifier.citationCOMPUTING AND INFORMATION SYSTEMS JOURNAL. Volumen 8 (2). University of the West of Scotland.
dc.identifier.issn1352-9404
dc.identifier.urihttp://cis.uws.ac.uk/research/journal/vol8.html
dc.identifier.urihttp://hdl.handle.net/10366/134478
dc.description.abstractThis paper shows how to build deliberative agents, with learning capacity, using a Case-based Reasoning model. The concept of deliberative agent is introduced and the Case-based Reasoning model is presented. Once the advantages and disadvantages of such agents have been discussed, it is shown how to solve some of their problems, especially those related to their implementation and adaptation using a Casebased Reasoning System.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of the West of Scotland
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleCreation of deliberative agents using a CBR model.
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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