Creating an Ambient-Intelligence Environment Using Embedded Agents

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http://doi.ieeecomputersociety.org/10.1109/MIS.2004.61

November/December 2004 (vol. 19 no. 6) pp. 12-20

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	Hani Hagras, Victor Callaghan, Martin Colley, Graham Clarke, Anthony Pounds-Cornish, Hakan Duman, "Creating an Ambient-Intelligence Environment Using Embedded Agents," IEEE Intelligent Systems, vol. 19, no. 6, pp. 12-20, November/December, 2004.

	BibTex	x
	@article{ 10.1109/MIS.2004.61, author = {Hani Hagras and Victor Callaghan and Martin Colley and Graham Clarke and Anthony Pounds-Cornish and Hakan Duman}, title = {Creating an Ambient-Intelligence Environment Using Embedded Agents}, journal ={IEEE Intelligent Systems}, volume = {19}, number = {6}, issn = {1541-1672}, year = {2004}, pages = {12-20}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2004.61}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Intelligent Systems TI - Creating an Ambient-Intelligence Environment Using Embedded Agents IS - 6 SN - 1541-1672 SP12 EP20 EPD - 12-20 A1 - Hani Hagras, A1 - Victor Callaghan, A1 - Martin Colley, A1 - Graham Clarke, A1 - Anthony Pounds-Cornish, A1 - Hakan Duman, PY - 2004 KW - fuzzy logic KW - learning KW - embedded agents KW - ambient intelligence KW - ubiquitous computing KW - pervasive computing KW - intelligent environments VL - 19 JA - IEEE Intelligent Systems ER -

Hani Hagras, University of Essex

Victor Callaghan, University of Essex

Martin Colley, University of Essex

Graham Clarke, University of Essex

Anthony Pounds-Cornish, University of Essex

Hakan Duman, University of Essex

The Essex intelligent dormitory (iDorm) is a practical ubiquitous-computing test bed environment that combines numerous heterogeneous computational artifacts and networks. A user occupied the iDorm for five and half days. During this period, an intelligent and adaptive embedded agent monitored and controlled the iDorm using the authors' fuzzy-logic-based Incremental Synchronous Learning (ISL) approach. The agent operates in a lifelong learning mode realizing the ambient-intelligence vision; it learns the user's behavior, adapts to his needs, and controls the iDorm according to the user's preferences in a personalized and nonintrusive way.

Index Terms:

fuzzy logic, learning, embedded agents, ambient intelligence, ubiquitous computing, pervasive computing, intelligent environments

Citation:

Hani Hagras, Victor Callaghan, Martin Colley, Graham Clarke, Anthony Pounds-Cornish, Hakan Duman, "Creating an Ambient-Intelligence Environment Using Embedded Agents," IEEE Intelligent Systems, vol. 19, no. 6, pp. 12-20, Nov./Dec. 2004, doi:10.1109/MIS.2004.61

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