On the Dynamics of Influence and Appraisal Networks
Professor Francesco Bullo of the University of California, Santa Barbara.
Abstract: This talk will present models for the evolution of interpersonal influences, interpersonal appraisals, and social power in a group of individuals. Specifically, we will propose learning models in two scenarios: groups who discuss and form opinions along a sequence of issues, and groups who execute a sequence of decomposable tasks. In both scenarios we establish the emergence of rational optimal behavior, or lack thereof, as a result of the natural dynamical evolution of interpersonal appraisals and influence structures. Our multiagent models and analysis results are grounded in influence networks from mathematical sociology, replicator dynamics from evolutionary games, and transactive memory systems from organization science.
Biography: Francesco Bullo is a Professor with the Mechanical Engineering Department and the Center for Control, Dynamical Systems and Computation at the University of California, Santa Barbara. His research interests focus on network systems and distributed control with application to robotic coordination, power grids and social networks. He is the coauthor of “Geometric Control of Mechanical Systems” (Springer, 2004) and “Distributed Control of Robotic Networks” (Princeton, 2009); his forthcoming “Lectures on Network Systems” is available on his website. He received best paper awards for his work in IEEE Control Systems, Automatica, SIAM Journal on Control and Optimization, IEEE Transactions on Circuits and Systems, and IEEE Transactions on Control of Network Systems. He is a Fellow of IEEE and IFAC. He has served on the editorial boards of IEEE, SIAM, and ESAIM journals, and will serve as IEEE CSS President in 2018