Learning & Reasoning (L&R) — VU Amsterdam

Learning & Reasoning (L&R) is a research group at the Department of Computer Science, Vrije Universiteit (VU) Amsterdam.

Mission

The group's central question is: How do we build AI models that can both learn and reason? This sits at the intersection of machine learning and symbolic/knowledge-based AI, with a strong focus on neuro-symbolic AI — combining the pattern recognition strengths of neural networks with the structured reasoning of symbolic systems.

Key Research Themes

• Neuro-symbolic AI — integrating neural and symbolic approaches to learning and reasoning
• Knowledge Graphs — representation, learning, and reasoning over structured knowledge
• Common Sense & Cognitive AI — building AI systems with human-like common sense
• Hybrid Intelligence — combining human and machine intelligence collaboratively
• Biomedical & Scientific AI — applying knowledge graphs and ML in healthcare and life sciences

Contact

• Website: lr.cs.vu.nl
• Address: NU Building, 10th Floor, Boelelaan 1111, 1103HG Amsterdam