Research interests of the AI group at the Cognitive Science Institute include the following topics:
|Analogical Reasoning|| |
Predictive analogies in qualitative physics, heuristic-driven theory projection
|Algebraic Methods in AI|| |
Category Theory, closure spaces, channels, topologies, universal algebra, Coalgebras
|Computational Creativity|| |
Computational storytelling, concept invention in mathematics and music, sketch recognition
|Logic Programming and Constraints|| |
PROLOG and PROLOG extensions for CLP
|Knowledge Management|| |
Mapping-Tools for Cooperative Work and Learning, distributed learning,
|Media-based Learning Environments|| |
|Ontology Design|| |
Ontology generation and adaptation, extraction of semantic information from syntactic data.
|Neuro-Symbolic Integration|| |
Learning logical theories and complex data structures with neural networks.
|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.
|Conceptual Spaces|| |
Extracting dimensions from data, acquiring concepts through machine learning, geometrical reasoning.