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dc.contributor.authorGarcía Fraile, Juan Antonio
dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorPérez Lancho, María Belén 
dc.contributor.authorSanz, Eladio
dc.date.accessioned2017-09-06T09:15:21Z
dc.date.available2017-09-06T09:15:21Z
dc.date.issued2009
dc.identifier.citationInternational Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008) Advances in Soft Computing. Advances in Soft Computing. Volumen 50, pp. 52-61.
dc.identifier.isbn978-3-540-85862-1 (Print) / 978-3-540-85863-8 (Online)
dc.identifier.issn1615-3871 (Print) / 1860-0794 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134973
dc.description.abstractThis paper presents a Hybrid Multi-Agent Architecture for the control and supervision of dependent environments, based on an Ambient Intelligence model. HoCa architecture incorporates a management system of alerts based on SMS and MMS technologies, and an automated identification, localization, and movement control system based on Java Card and RFID technologies. HoCa is independent from the programming language and operating system in that it is executable. The core of the architecture is formed by both deliberative agents and reactive agents that interact to offer efficient services. The architecture has been tested in a real environment and the results obtained are presented in this paper.
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.titleHoCa Home Care Multi-agent Architecture
dc.typeinfo:eu-repo/semantics/conferenceObject
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