In general, the project will lead to a set of tools consisting of methods, algorithms, and hardware to extract and use planning knowledge from brain activity to control smart devices. This will yield a radically novel control paradigm potentially useful for healthcare problems as controlling a wheel chair or prostheses in a more “human” way. During the development of this control paradigm, we are obtaining crucial insights in the way the brain forms and encodes predictive, planning knowledge, which could become important to understand the effects of diverse neural diseases impeding patients’ ability of forming and executing plans. Thereby, in contrast to state-of-the-art setups, our newly developed experimental environment does not restrict the agent in its movements and actions and, in parallel, allows the measurement of all relevant neural and behavioral data. This environment provides a new fundamental platform to investigate natural behavior and related brain activities. Furthermore, we develop new types of hardware-accelerated interfaces between a smart house, its smart devices, and the user enabling a smoother, more natural interaction between them. Overall, this project seeks to improve the interplay between humans and surrounding devices by equipping them with the ability to act proactively.