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Nicolas Bredèche

Sorbonne Université, ISIR lab

Nicolas Bredeche is Professeur des Universités (full professor, 1st class) in computer science at Sorbonne Université in Paris, France. He is a member of the Institut des Systèmes Intelligents et de Robotique (Campus Pierre et Marie Curie). His research activity revolves around adaptive collective systems with two motivations: (1) to understand natural systems, using individual-based modeling and simulation methods (e.g.: collective decision-making, the evolution of cooperation) and (2) to design adaptive collective/swarm robotic systems using evolutionary and social learning algorithms (e.g.: behavior optimization for collective robotics, online distributed evolutionary learning for swarm robotics). He is particularly interested in how a collective of individuals, whether artificial or natural, can learn how to self-organize and survive together in open environments.

Adaptive mechanisms in collective natural and artificial systems

I will give a brief overview of the research we are conducting on using robot swarms to study adaptive collective systems in the physical world. I will focus on (1) robot swarm to study physical interactions between individuals, and on (2) designing learning algorithms distributed over a robot swarm as a model for exploring social learning dynamics in a collective. I will also show some results on the evolution of cooperative behaviours and social learning obtained with this method.