Andrea Roli

Andrea Roli's research interests lie in complex systems and artificial intelligence, with a primary focus on the relation between complex systems and cognitive processes.

His research activities encompass bio-inspired robotics, emergent phenomena in complex systems, complex systems biology, and the philosophical aspects of complexity. Previously, he also worked on constrained optimization problems and hybrid metaheuristics.

Current research lines include adaptation mechanisms for robots in both offline and online scenarios. A parallel line focuses on using genetic regulatory network models as control programs for robots, automatically designed through optimization techniques. This research aims to leverage the richness of cellular dynamics to achieve robust and adaptive artificial systems.

In the study of emergent phenomena, Andrea Roli investigates information-theoretic measures for characterizing and designing robotic systems, as well as identifying relevant dynamical structures in complex systems.

He is particularly interested in foundational questions related to natural and artificial intelligence, embodied artificial intelligence, and the philosophy of biology.

Finally, his work also extends to cognitive processes, and emergent and self-organization phenomena in music—especially early music and continuo—as well as in the field of artificial creativity.