A Smart Home Agent for Plan Recognition

  • Bruno Bouchard
  • Sylvain Giroux
  • Abdenour Bouzouane
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4013)


Assistance to people suffering from cognitive deficiencies in a smart home raises complex issues. Plan recognition is one of them. We propose a formal framework for the recognition process based on lattice theory and action description logic. The framework minimizes the uncertainty about the prediction of the observed agent’s behaviour by dynamically generating new implicit extra-plans. This approach offers an effective solution to actual plan recognition problem in a smart home, in order to provide assistance to persons suffering from cognitive deficits.


Description Logic Recognition Process Smart Home Interpretation Model Partially Observable Markov Decision Process 
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-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bruno Bouchard
    • 1
  • Sylvain Giroux
    • 1
  • Abdenour Bouzouane
    • 2
  1. 1.Université de sherbrookeSherbrooke, QuébecCanada
  2. 2.Université du Québec à ChicoutimiChicoutimi, QuébecCanada

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