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Research interests
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 |
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| 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. |
