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dc.contributor.authorDe Paz, Juan F. 
dc.contributor.authorde Paz Santana, Yanira
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.contributor.authorBajo Pérez, Javier
dc.date.accessioned2017-09-05T11:02:02Z
dc.date.available2017-09-05T11:02:02Z
dc.date.issued2010
dc.identifier.citationInternational Journal of Computational Intelligence in Bioinformatics and Systems Biology. Volumen 1 (4), pp. 349. Inderscience Publishers.
dc.identifier.issn1755-8034 (Print) / 1755-8042 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134415
dc.description.abstractThis paper presents an autonomous intelligent agent developed for healthcare in geriatric residences. The paper focuses on the role of ambient intelligence in the automation of healthcare services. The work here presented shows the development of an autonomous agent, TaskCBP, which incorporates a model of human thinking, such as reasoning based on past experiences. The planning mechanism integrated within the agent has been implemented by means of a novel QSOR neural network. The system has been tested and this paper presents the results obtained
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherInderscience Publishers
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleTaskCBP: an intelligent agent for task planning in elderly care
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