YINS Seminar Archives: Michael Kearns (Apr. 29, 2015)

YINS Seminar Archives: Michael Kearns (Apr. 29, 2015)

Talk Summary: 

“Games, Networks, and People”

Speaker: Michael Kearns, Professor and National Center Chair; Department of Compu, ter and Information Science of the University of Pennsylvania; Founding Director, Warren Center for Network and Data Sciences; Founding Director, Penn program in Networked and Social Systems Engineering; Secondary Appointments in Statistics and Operations and Information Management in the Wharton School

Beginning with the introduction of graphical games and related models, there is now a rich body of algorithmic connections between probabilistic inference, game theory and microeconomics. Strategic analogues of belief propagation and other inference techniques have been developed for the computation of Nash, correlated and market equilibria, and have played a significant role in the evolution of algorithmic game theory over the past decade.

This was a presentation of the YINS Distinguished Lecturer Series on April 29, 2015. 

Michael Kearns

Professor Kearns research interests include topics in machine learning, algorithmic game theory, social networks, algorithmic trading and computational finance, and artificial intelligence. He often examine problems in these areas using methods and models from theoretical computer science and related disciplines. While the majority of his work is mathematical in nature, he has also participated in a variety of empirical and experimental projects, including applications of machine learning to trading and finance, spoken dialogue systems, and other areas. Most recently, he has been conducting human-subject experiments on strategic and economic interaction in social networks.