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Watch a 52-minute lecture from Princeton University's Bernard Chazelle at IPAM's Modeling Multi-Scale Collective Intelligences Workshop exploring analytical tools for studying collective behavior. Delve into how local interactions between agents can generate coherent group actions across different temporal and spatial scales, with a focus on dynamic, out-of-equilibrium systems. Examine practical applications in opinion dynamics, swarming behavior, motion coordination, and iterated learning processes. The presentation, delivered at UCLA's Institute for Pure & Applied Mathematics, offers valuable insights into understanding and modeling complex collective intelligence phenomena.
