Combining learning and reasoning is the key to safe, robust, and efficient artificial intelligent systems.
The Intelligent Systems group conducts basic and applied research in the area of safe and responsible artificial intelligence. Intelligent Systems is one of the research groups of the division Artificial Intelligence and Data Science within the department of Information and Computing sciences.
We focus on the following research areas:
- Knowledge Representation and Reasoning
- Reinforcement Learning
- Autonomy and Decision Making
- Agent-based Modelling and Simulation
- Social and Cognitive Computational Modelling
As a group, we are always interested in research collaborations with knowledge institutes, government organisations, and industry on all themes related to our research group. Please contact us if you want to discuss opportunities for collaboration.