Smart buildings have to provide occupants with a good experience in order to encourage people to use them. To reach this goal, a smart building must always perform an appropriate behavior and select its actions according to the user's environment (context) and preferences. However, due to its dynamic nature, the context can change; smart building designers need to make these systems able to adapt by themselves. In this paper, we present our on-going research on an adaptive model which aims to help smart building designers to make systems able to adapt their behavior by themselves. Our approach is based on behavior trees in order to structure behaviors of smart homes and a generic adaptive strategy.
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