Catálogo de publicaciones - revistas
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Resumen/Descripción – provisto por la editorial en inglés
ACM Transactions on Autonomous and Adaptive Systems (TAAS) is a venue for high quality research contributions addressing foundational, engineering, and technological aspects related to all those complex ICT systems that have to serve - in autonomy and with capabilities of autonomous adaptation - in highly dynamic socio-technico-physical environments.Palabras clave – provistas por la editorial
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Disponibilidad
Institución detectada | Período | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | desde sep. 2006 / hasta dic. 2023 | ACM Digital Library |
Información
Tipo de recurso:
revistas
ISSN impreso
1556-4665
ISSN electrónico
1556-4703
Editor responsable
Association for Computing Machinery (ACM)
País de edición
Estados Unidos
Fecha de publicación
2006-
Tabla de contenidos
Interoperable and adaptive fuzzy services for ambient intelligence applications
Giovanni Acampora; Matteo Gaeta; Vincenzo Loia; Athanasios V. Vasilakos
<jats:p>In Ambient Intelligence (AmI) vision, people should be able to seamlessly and unobtrusively use and configure the intelligent devices and systems in their ubiquitous computing environments without being cognitively and physically overloaded. In other words, the user should not have to program each device or connect them together to achieve the required functionality. However, although it is possible for a human operator to specify an active space configuration explicitly, the size, sophistication, and dynamic requirements of modern living environment demand that they have autonomous intelligence satisfying the needs of inhabitants without human intervention. This work presents a proposal for AmI fuzzy computing that exploits multiagent systems and fuzzy theory to realize a long-life learning strategy able to generate context-aware-based fuzzy services and actualize them through abstraction techniques in order to maximize the users' comfort and hardware interoperability level. Experimental results show that proposed approach is capable of anticipating user's requirements by automatically generating the most suitable collection of interoperable fuzzy services.</jats:p>
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