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dc.contributor.authorGarcía Fraile, Juan Antonio
dc.contributor.authorTapia Martínez, Dante I.
dc.contributor.authorSánchez, Miguel A.
dc.identifier.citationHybrid Artificial Intelligence Systems Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 5271, pp. 54-61.
dc.identifier.isbn978-3-540-87655-7 (Print) / 978-3-540-87656-4 (Online)
dc.identifier.issn0302-9743 (Print) / 1611-3349 (Online)
dc.description.abstractThis paper presents a Hybrid Multi-Agent Architecture based on an Ambient Intelligence model, for the control and supervision of dependent environments. 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.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.subjectComputer Science
dc.titleHybrid Multi-Agent Architecture (HoCa) Applied to the Control and Supervision of Patients in Their Homes

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Attribution-NonCommercial-NoDerivs 3.0 Unported
Exceto quando indicado o contrário, a licença deste item é descrito como Attribution-NonCommercial-NoDerivs 3.0 Unported