Artefact Adaptation in Ambient Intelligent Environments

  • H. HagrasEmail author
  • C. Wagner


The paper presents a novel approach to develop strategies that will allow the artefacts to adapt to the uncertainties associated with the changes in the artefacts characteristics, context as well as changes in the user(s) preferences regarding these artefacts in Ambient Intelligent Environments (AIEs). This work is within the framework of an EU funded project entitled ATRACO (Adaptive and Trusted Ambient Ecologies) which aims to contribute to the realization of trusted ambient ecologies in AIEs.


Light Sensor Linguistic Label Individual Device Embed Agent Ambient Intelligent Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.University of Essex in ColchesterEssexUK

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