Knowledge Representation and AI
Our research spans from the theoretical models of intelligent systems, coming both from the field of AI but also from cognitive science and anticipatory systems theory, through knowledge representation (especially using network architectures), planning and learning, to implementation strategies (behaviour specification, software architectures and environments, but also hardware realizations, like e.g. robots). The area of multi-agent systems and collective intelligence are also within the scope of our interest. Some members of the group are attracted to the areas of more practical nature like machine vision, robot programming and robot control. Although not necessarily considered as the mainstream within the computer science, those fields are of vital importance for creating intelligent artifacts.