On the Role of Common Information In Decision-Making Under Uncertainty

Tuesday, October 21, 2014 - 4:00pm to Wednesday, October 22, 2014 - 3:55pm

Event Calendar Category

LIDS Seminar Series

Speaker Name

Demosthenis Teneketzis


University of Michigan

Building and Room number



We discuss the role of common information in decision-making under uncertainty. We present the “common information methodology” and show how it can be used to solve a broad class of dynamic team problems that were previously unsolved. We briefly discuss how the common information methodology can be used to determine Markov perfect Bayesian equilibria in dynamic games with asymmetric information. Finally, we present some thoughts on the role of common information in mechanism design.


Demosthenis Teneketzis received the B.S degree in Electrical Engineering from the University of Patras, Greece, in 1974, and the M.S, E.E and Ph.D. degrees , all in Electrical Engineering, from MIT in 1976, 1977 and 1979, respectively. He is currently Professor of EECS at the University of Michigan, Ann Arbor. In winter and spring 1992, he was a visiting Professor at the Swiss Federal Institute of Technology (ETH), Zurich, Switzerland. Prior to joining the University of Michigan, he worked for Systems Control Inc., Palo Alto, CA, and Alphatech inc., Burlington, MA. His research interests are in stochastic control,decentralized systems, networks, stochastic scheduling and resource allocation, mathematical economics, energy markets, and discrete event systems.