From the daily movement of primate troops to the mesmerizing murmurations of starling flocks in the sky, the dynamics of animal groups on the move fascinate us with the mystery of their underlying social interactions. In this talk, I will first showcase how we combine empirical data and computational models based on self-organization to understand the individual rules that underlie collective behaviour, using bird flocks under attack by a robotic predator as a case study. Given that identifying unique and common traits across systems is necessary to understand the ecological and evolutionary processes that shape the diversity of collective behaviour we see in nature, I will further present the Swarm-Verse, a new framework to quantify variation in collective motion across species, using studies on fish, goats, pigeons and baboons.
This talk is part of seminar “Introduction to Modeling Collective Behavior” organized by SCIoI member David Mezey, on collective behavior research combined with multiple interactive elements.
Image created with DALL-E by Maria Ott