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| # Learning & Reasoning (L&R) — VU Amsterdam |
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| **Learning & Reasoning (L&R)** is a research group at the Department of Computer Science, Vrije Universiteit (VU) Amsterdam. |
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| ## Mission |
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| 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. |
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| ## Key Research Themes |
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| - **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 |
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| ## Contact |
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| - **Website:** [lr.cs.vu.nl](https://lr.cs.vu.nl) |
| - **Address:** NU Building, 10th Floor, Boelelaan 1111, 1103HG Amsterdam |
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