The main goal of the research training group is to extend classical cyber-physical systems in such a way that they enable an adaptive integration of complex processes. Due to the large heterogeneity of IoT devices, the diversity of processes and the environmental factors acting on them, as well as the dynamic usage and interaction contexts, high complexity and dynamics arise. The systems must therefore be designed to be self-learning and adaptive, so that the data generated during their use can be continuously used to improve themselves (processes, topologies, resource requirements, etc.). This is enabled using AI and machine learning methods, but also considers the interaction between actors ("human-in-the-loop"), systems and processes.