Research interests of the AI group at the Cognitive Science Institute include the following topics:
|Algebraic Methods in AI|| |
Category Theory, closure spaces, channels, topologies, universal algebra, Coalgebras
|Analogical Reasoning|| |
Predictive analogies in qualitative physics, heuristic-driven theory projection
|Cognitive Integration|| |
Reducing cognitive diversity to a few principles in order to achieve human-level intelligence. Integrating different approaches in order to achieve more unified systems.
|Computational Creativity|| |
Computational storytelling, concept invention in mathematics and music, sketch recognition
|Conceptual Spaces|| |
Extracting dimensions from data, acquiring concepts through machine learning, geometrical reasoning.
|Deep Learning|| |
Applying deep neural networks to various machine learning problems.
|Dialog Systems|| |
Using a Pepper robot as interactive tutor.
|Logic Programming and Constraints|| |
PROLOG and PROLOG extensions for CLP
|Media-based Learning Environments|| |
User modeling and automated learning tools.
|Medical Applications|| |
Applications of artificial intelligence and machine learning in the medical domain (flu prediction, analysis of health data, etc.)
|Neuro-Symbolic Integration|| |
Learning logical theories and complex data structures with neural networks.
|Ontology Design|| |
Ontology generation and adaptation, extraction of semantic information from syntactic data.