Abstract
In music, a random sequence of notes fails to capture our attention, while a monotonous four-note repetition quickly loses its appeal. So, what is it about certain musical structures that strikes the perfect balance between predictability and surprise? In this talk, I will introduce two complementary approaches from the field of complex systems to explore how these structures and interactions emerge. From a top-down perspective, I will show how network representations can be used to map and analyse patterns within musical pieces. From a bottom-up perspective, I will show how simple local interactions can lead to the emergence of richer, coordinated musical forms in a swarm of robots, as illustrated in our work with the Emergent Orchestra framework.
About the speaker
Lluc Bono Rosselló is a PhD student at IRIDIA, Université Libre de Bruxelles (Belgium). His research focuses on studying creativity from a complex systems perspective, primarily using tools from network science and swarm intelligence. He holds a degree in Industrial Engineering from Valencia (Spain) and a Master’s in Computer Science and Engineering from ULB. Alongside his research, he has also contributed to more applied AI projects, such as a pilot initiative for the Brussels Region to automatically detect illegal animal sales and the development of an intelligent chatbot for the university using Large Language Models.