Algorithms in ambient intelligence

We briefly review the concept of ambient intelligence and discuss its relation with the domain of intelligent algorithms. By means of four examples of ambient intelligent systems, we argue that new computing methods and quantification measures are needed to bridge the gap between the class of existing algorithms and the ones that are needed to realize ambient intelligence. These examples include quality of experience, private recommender systems, intentional search, and multimodal user awareness. The major differences between the classical and novel approaches are formulated in terms of a number of challenges for the design and analysis of intelligent algorithms.