Distinguished Symposium in Computer Science
Monday, November 8 at 10:00 a.m.
To 11:00
IT building, CS 209
500 W. 15th St., Rolla, MO 65409
CS Distinguished Colloquium
Monday, November 8, 2021 at 10 a.m. CST
umsystem.zoom.us/j/91549819586 (Access code: 1234)
Nonlinear opinion dynamics for decision making in multi-agent interactions
Naomi Ehrich Leonard
Professor Edwin S. Wilsey
Mechanical and aerospace engineering
Princeton University
Abstract:
I will discuss a recently proposed opinion dynamics model and its use in decision making for cooperative and strategic multi-agent interactions. The model describes the continuous-time opinion dynamics for an arbitrary number of agents who communicate over a network and form real-value opinions on an arbitrary number of options about which they can receive gains or contributions from the network. ‘environment. Many models in the literature update the opinions of agents using a weighted average of the opinions of their neighbors. Rather, this model applies a sigmoid saturation function to the exchange of opinions, which provides a naturally smooth limit on the influence of neighbors. It also makes the update fundamentally non-linear: opinions form through bifurcation producing multistable agreement and disagreement, adjustable sensitivity to inputs, flexible transition between opinion models and opinion cascades. I will show how to apply opinion dynamics to the design of efficient dynamic allocations of multi-agent tasks and as a reinforcement learning model in multi-agent finite games.
This is a joint work with Anastasia Bizyaeva, Alessio Franci and Shinkyu Park and based on articles arxiv.org/abs/2009.04332, link.springer.com/article/10.1007%2Fs11721-021-00190-w, and arxiv.org/abs/2108.00966
Biography:
Dr. Naomi Ehrich Leonard is Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering and Associate Professor of Applied and Computational Mathematics at Princeton University. She is also director of Princeton’s Council on Science and Technology and editor of the Annual Review of Control, Robotics, and Autonomous Systems. She received her BSE in Mechanical Engineering from Princeton University and her PhD in Electrical Engineering from the University of Maryland. She is a MacArthur Fellow, Elected Fellow of the American Academy of Arts and Sciences, and a Fellow of SIAM, IEEE, IFAC, and ASME. His current research focuses on the dynamics and control of multi-agent systems on networks with applications to distributed decision-making, diffusion processes, multi-robot teams and collective behavior.
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