Multidimensional Pervasive Adaptation into Ambient Intelligent Environments

In this paper we describe the ATRACO (adaptive and trusted ambient ecologies) approach towards next generation ambient intelligent environments. Several agents, such as a fuzzy task agent with learning capabilities and an interaction agent collaborate in a goal-related activity sphere and adapt heterogeneous artifacts within the sphere in order to support the user to fulfill tasks. All components work on a dynamic sphere ontology, which forms the main knowledge base of the ecology. The presented prototype is able to realize the goal ¿feel comfortable at home after work¿ and was implemented in an existing intelligent environment.