Computational reasoning given uncertain information

The Intelligent and Adaptive Systems research investigates the theoretical foundations and the algorithmic realization of information processing and reasoning in complex and dynamic environments given limited resources and incomplete or uncertain information.

It encompasses three overlapping subthemes and their corresponding topics:

• Intelligent agents

  Computational techniques for autonomous problem solving and decision making in complex environments populated by humans and/or artificial agents.

• Computational Intelligence

  Adaptive systems exploiting learning, flexible probabilistic, or nature-inspired computing models to deal with opaque, dynamic contexts, big data, and machine learning

• Computational/Applied Logic

  Logic-based methods for analysing/specifying computational systems, providing advanced knowledge representation, and reasoning techniques for intelligent agents.

The following professors and their teams contribute to this research area.