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. 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. © 2005 IEEE.
Using fuzzy technology in ambient intelligence environments / Acampora, Giovanni; Loia, Vincenzo. - (2005), pp. 465-470. (Intervento presentato al convegno IEEE 2005 International Conference on Fuzzy Systems (FUZZ-IEEE 2005)) [10.1109/FUZZY.2005.1452438].
Using fuzzy technology in ambient intelligence environments
Acampora Giovanni;
2005
Abstract
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. 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. © 2005 IEEE.File | Dimensione | Formato | |
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