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
Predictive analogies in qualitative physics, heuristic-driven theory projection
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 storytelling, concept invention in mathematics and music, sketch recognition
Extracting dimensions from data, acquiring concepts through machine learning, geometrical reasoning.
Applying deep neural networks to various machine learning problems.
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.
Applications of artificial intelligence and machine learning in the medical domain (flu prediction, analysis of health data, etc.)
Learning logical theories and complex data structures with neural networks.
Ontology generation and adaptation, extraction of semantic information from syntactic data.