Our main focus in Machine Learning is the integration of knowledge modelling, case-based reasoning and inductive learning methods.

  • The NOOS representation language provides a computational framework for designing and implementing knowledge systems with learning capabilities.
  • Inductive learning with INDIE, a bottom-up relational learning system for Noos, an object-centered representation language.
  • Learning in Multiagent Systems:

    Our focus is on systems of agents that cooperate and learn. The agents have "competence models" that allow them to learn how to cooperate. The long term goal is to develop labour division in Multiagent Systems as an effect of the interplay of cooperation and learning.