Artificial Intelligence (MA)

Human intelligence manifests itself through a number of highly specialized but interrelated competences and skills. Assuming that the basis for these abilities is an extraordinary well-organized associative memory, information and knowledge modeling takes on a special position for Strong Artificial Intelligence also called Artificial General Intelligence (AGI). A lot of commercial software systems use basic information modeling techniques, like Entity Relationship Diagrams (ERD) or Uniform Modelling Language (UML), which has strengths but also weaknesses. Some techniques are designed to model more dynamical events like the Business Process Modelling Language (BPML). Further developed modeling techniques are used to describe information in a more sophisticated way and even used to model knowledge represented in computer systems and AI systems. One example is the Knowledge Modeling and Description Language (KMDL). This course provides three main topics: a) The phenomenon of data, information and knowledge and advanced approaches to structure information for intelligent systems. b) The modeling of different aspects like time and space within that information models in different ways. c) Development of a custom modeling language providing an orthogonal integration of the discussed aspects. d) Implementing of parsers to compile the languages into adequate information and knowledge structures. The learned techniques are used to model the dynamic movement of a robot within a room with no coordinate system, but only based on relative and spontaneously received position information of detected items.