Scholar
Nicolas Bredeche
Google Scholar ID: E7faEY8AAAAJ
Professor of Computer Science, Sorbonne Université
Citations & Impact
Citations
1,277
H-index
17
i10-index
32
Publications
20
Co-authors
94
list available
Publications
Resume (English only)
Background
- Professor in Computer Science at Sorbonne Université, Paris, France
- Studies collective adaptive systems: how groups of simple agents—robotic or biological—can learn, evolve, and self-organize in open environments
- Interested in both natural systems (using simulations to understand social learning dynamics) and artificial systems (designing distributed online reinforcement and evolutionary learning algorithms for swarm robotics)
- Primarily builds individual-based models and conducts numerical simulations; also uses custom experimental platforms such as the Pogobot swarm (200 open-source robots developed at ISIR)
- Research topics: collective adaptive systems, swarm robotics, social learning, smart active matter
- Methods: machine learning, evolutionary computation, evolutionary dynamics, statistical physics
