Creating an Ambient-Intelligence Environment Using Embedded Agents

  • Authors:

  • Hani Hagras;Victor Callaghan;Martin Colley;Graham Clarke;Anthony Pounds-Cornish;Hakan Duman

  • Affiliations:

  • University of Essex;University of Essex;University of Essex;University of Essex;University of Essex;University of Essex

  • Venue:
  • IEEE Intelligent Systems
  • Year:
  • 2004

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Abstract

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.