Our objective is to research into artificial intelligence and knowledge technology for intelligent systems. However, our new approaches are often motivated by nature, e.g. from the brain, cognition and neuroscience. We want to study and understand nature-inspired, in particular hybrid neural and symbolic representations, in order to build next-generation intelligent systems. Such systems include for instance adaptive interactive knowledge discovery systems, learning crossmodal neural agents with vision and language capabilities, or neuroscience-inspired continually learning robots.