Institut für Kognitionswissenschaft

Institute of Cognitive Science

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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

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.