Special Colloquium: "FAST AND FLEXIBLE MULTIAGENT DECISION-MAKING" - Professor Naomi E. Leonard
Electrical Engineering Colloquium
Speaker: Professor Naomi E. Leonard, Department of Mechanical and Aerospace Engineering, Director, Council on Science and Technology, Princeton University
Prof. Leonard is a MacArthur Fellow, an elected member of the American Academy of Arts and Sciences, and winner of the 2023 IEEE Control Systems Award.
Title: FAST AND FLEXIBLE MULTIAGENT DECISION-MAKING
Abstract: I will present new theory and methodology for understanding and designing fast and flexible decision-making behavior for a group of agents that observe or communicate over a network. Our model-free theory shows how agreement and disagreement behaviors that capture real-world multiagent decision-making emerge through a bifurcation in which indecision is destabilized. To realize and study these behaviors, we define analytically tractable dynamics that are equivalent to classic linear opinion dynamics with a saturation applied to the exchanges of opinion states. We prove the role of network structure in the bifurcation point, the post-bifurcation opinion patterns, and the sensitivity of the bifurcation to the distribution of inputs over the network. With the additional coupling of state-feedback dynamics for the attention agents pay to their observations, the model admits tunably fast and flexible network behavior in the face of changing environmental conditions. I will demonstrate with applications to multi-robot teams.
This is joint work with Anastasia Bizyaeva and Alessio Franci and based on the papers:
https://ieeexplore.ieee.org/document/9736598
https://arxiv.org/abs/2206.14893
https://arxiv.org/abs/2210.01642
Short bio: Naomi Ehrich Leonard is Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering and associated faculty in Applied and Computational Mathematics at Princeton University. She is also Director of Princeton’s Council on Science and Technology and Founding 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 member of the American Academy of Arts and Sciences, and winner of the 2023 IEEE Control Systems Award. Leonard is Fellow of SIAM, IEEE, IFAC, and ASME. Her current research focuses on dynamics, control, and learning for multi-agent systems on networks with application to multi-robot teams, collective animal behavior, and other networked systems in nature, technology, and the arts.
Light refreshments will be served before the lectureThis colloquium is not counted toward seminar credit.
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