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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/btdqpygqjnhzfe7tkrxo77bitm" style="color: black;">IEEE transactions on systems, man and cybernetics. Part A. Systems and humans</a>
In this paper, we describe a novel life-long learning approach for intelligent agents that are embedded in intelligent environments. The agents aim to realize the vision of ambient intelligence in intelligent inhabited environments (IIE) by providing ubiquitous computing intelligence in the environment supporting the activities of the user. An unsupervised, data-driven, fuzzy technique is proposed for extracting fuzzy membership functions and rules that represent the user's particularized<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tsmca.2004.838488">doi:10.1109/tsmca.2004.838488</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/noflbnj5yneapf63s3hjtmjph4">fatcat:noflbnj5yneapf63s3hjtmjph4</a> </span>
more »... ors in the environment. The user's learned behaviors can then be adapted online in a life-long mode to satisfy the different user and system objectives. We have performed unique experiments in which the intelligent agent has learned and adapted to the user's behavior, during a stay of five consecutive days in the intelligent dormitory (iDorm), which is a real ubiquitous computing environment test bed. Both offline and online experimental results are presented comparing the performance of our technique with other approaches. The results show that our proposed system has outperformed the other approaches, while operating online in a life-long mode to realize the ambient intelligence vision. Index Terms-Agents, ambient intelligence, fuzzy systems, intelligent inhabited environments (IIE). where he is currently pursuing the Ph.D. degree in ambient intelligent systems. His research interests include computational intelligence, fuzzy logic, ambient intelligence, pervasive computing, and intelligent buildings. He is also interested in embedded agents and intelligent machines. Mr. Doctor is a Student Member of the IEE. Hani Hagras (M'03) received the B.Sc. and M.Sc.
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