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| dc.contributor.author | Bajo Pérez, Javier | |
| dc.contributor.author | Tapia Martínez, Dante I. | |
| dc.contributor.author | Rodríguez González, Sara | |
| dc.contributor.author | Luis Reboredo, Ana de | |
| dc.contributor.author | Corchado Rodríguez, Juan Manuel | |
| dc.date.accessioned | 2017-09-06T09:15:48Z | |
| dc.date.available | 2017-09-06T09:15:48Z | |
| dc.date.issued | 2007 | |
| dc.identifier.citation | Lecture Notes in Computer Science Computational and Ambient Intelligence. Lecture Notes in Computer Science. Volumen 4507, pp. 1090-1097. | |
| dc.identifier.isbn | 978-3-540-73006-4 (Print) / 978-3-540-73007-1 (Online) | |
| dc.identifier.issn | 0302-9743 (Print) / 1611-3349 (Online) | |
| dc.identifier.uri | http://hdl.handle.net/10366/135021 | |
| dc.description.abstract | This paper presents an autonomous intelligent agent with a human thinking reasoning model, based on past experiences. The agent is developed to assist medical staff in geriatric residences. The health care process is a vital function, requiring nature-inspired solutions imitating the residence staff behaviours. An autonomous deliberative Case-Based Planner agent, AGALZ (Autonomous aGent for monitoring ALZheimer patients), is developed and integrated into an environment-aware multi-agent system, named ALZ-MAS (ALZheimer Multi-Agent System), to optimize health care in geriatric residences. ALZ-MAS is capable of obtaining information about the environment through RFID technology. | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.publisher | Springer Science + Business Media | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Unported | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ | |
| dc.subject | Computer Science | |
| dc.title | Nature-Inspired Planner Agent for Health Care | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess |
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