Our proposal is aimed at achieving a reliable control architecture for intelligent environments. This approach is implemented in a professor's simulated office. To that end, adaptive Neuro-Fuzzy training of Sugeno-type fuzzy inference systems are used. Experimental results and conclusions are shown, stressing the relevance of this approach inspired by the ambient intelligence metaphor in the adaptation of the environment to the professor's physical and emotional conditions.