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.
Using FML and Fuzzy Technology in Adaptive Ambient Intelligence Environments / Acampora, Giovanni; Loia, Vincenzo. - In: INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE RESEARCH. - ISSN 0973-1873. - 1:2(2005), pp. 171-182.
Using FML and Fuzzy Technology in Adaptive 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. 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.File | Dimensione | Formato | |
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