Using FML and fuzzy technology in adaptive ambient intelligent environments

G. Acampora, V. Loia

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Ambient Intelligence (AmI, shortly) gathers best re-sults from three key technologies, Ubiquitous Computing, Ubiq-uitous Communication, and Intelligent User Friendly Inter-faces. The functional and spatial distribution of tasks is a natu-ral thrust to employ multi-agent paradigm to design and imple-ment AmI environments. Two critical issues, common in most of applications, are (1) how to detect in a general and efficient way context from sensors and (2) how to process contextual in-formation in order to improve the functionality of services. In this work we experiment a framework where hybrid techniques (distributed fuzzy control, mobile agents, fuzzy rules induction algorithms) are mixed to gain flexibility and uniformity.
Original languageEnglish
Pages (from-to)171-182
Number of pages12
JournalInternational Journal of Computational Intelligence Research
Volume1
Issue number2
Publication statusPublished - 2005

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Mobile agents
Ubiquitous computing
Fuzzy rules
Fuzzy control
Spatial distribution
Communication
Sensors
Experiments
Ambient intelligence

Cite this

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Using FML and fuzzy technology in adaptive ambient intelligent environments. / Acampora, G.; Loia, V.

In: International Journal of Computational Intelligence Research, Vol. 1, No. 2, 2005, p. 171-182.

Research output: Contribution to journalArticleAcademicpeer-review

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