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A Fuzzy Embedded Agent-Based Approach for Realizing Ambient Intelligence in Intelligent Inhabited Environments

Doctor, F., Hagras, H., Callaghan, V.·2005·IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans

Abstract

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 behaviors 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.

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Metadata

Authors
Doctor, F., Hagras, H., & Callaghan, V.
Venue
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
Published
2005-01
Volume
35
Issue
1
Pages
55-65
ISSN
1083-4427 (ISSN-L)
OpenAlex
W2127495420
Cited by
274
References
0
FWCI
8.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Fuzzy Embedded Agent-Based Approach for Realizing Ambient Intelligence in Intelligent Inhabited Environments. https://app.cochat.ai/papers/10.1109/tsmca.2004.838488
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Doctor, F., Hagras, H., & Callaghan, V. (2005). A Fuzzy Embedded Agent-Based Approach for Realizing Ambient Intelligence in Intelligent Inhabited Environments. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. https://doi.org/10.1109/tsmca.2004.838488

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