| Wide range of organisms, from bacteria to fish to
birds, exhibit remarkable patterns of collective motion. Models
based on statistical physics have revealed that local social
interactions between individuals can produce spectacular
spatiotemporal patterns. From an evolutionary perspective,
individuals are typically in conflict with one another as they
optimize their own relative-fitness. Therefore, a fundamental
question in biology is to understand how the process of natural
selection that favors selfish individuals shapes local interactions
that in turn result in complex coordinated collective motion. In
this talk, I will present our recent work that employs large-scale
individual-based spatially-explicit evolutionary simulations to
investigate the evolution of collective migration. I will also
present results from a novel set-up that integrates computational
framework of collective motion with real experiments, where we
demonstrate that real predators strongly select for social
interactions among simulated prey. |