International Journal of Computational Intelligence Research (IJCIR)

Volume 1, Number 2 (2005)


Using FML and Fuzzy Technology in Adaptive Ambient Intelligence Environments

Giovanni Acampora, Vincenzo Loia
Dipartimento di Matematica e Informatica 

UniversitÓ degli Studi di Salerno Via Ponte don Melillo, 

84084 Fisciano, Salerno, Italy

Ambient Intelligence (AmI, shortly) gathers best results from three key technologies, Ubiquitous Computing, Ubiquitous Communication, and Intelligent User Friendly Interfaces.The functional and spatial distribution of tasks is a natural thrust to employ multi-agent paradigm to design and implement 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 information in order to improve the functionality of services. Inthis work we experiment a framework where hybrid techniques (distributed fuzzy control, mobile agents, fuzzy rules induction algorithms) are mixed to gain flexibility and uniformity.

Key words
Distributed Fuzzy Control, Markup Languages, Agents, Fuzzy Rule Induction Algorithms.