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# 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](https://lr.cs.vu.nl)
- **Address:** NU Building, 10th Floor, Boelelaan 1111, 1103HG Amsterdam