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UID:20260621T185956EDT-6892dm7CSH@132.216.98.100
DTSTAMP:20260621T225956Z
DESCRIPTION:Virtual Informal Systems Seminar (VISS) Centre for Intelligent 
 Machines (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decision
 s (GERAD)\n	\n	Zoom Link\n	Meeting ID: 910 7928 6959\n	Passcode: VISS\n	\n	Speak
 er: Dengwang Tang\, PhD student\, Electrical and Computer Engineering Depa
 rtment\, University of Michigan\n	\n	Abstract: Dynamic games with asymmetric
  information appear in many social-economic contexts. In these games\, mul
 tiple agents/decision makers\, interact repeatedly in a changing environme
 nt. Agents have different information and seek to optimize their respectiv
 e long-term payoffs. Examples include market competition\, cyber-security\
 , and transportation networks. In some settings\, agents can form groups\,
  or teams. The agents in the same group share a common goal but may have d
 ifferent information available to them. In this talk\, I focus on a class 
 of stochastic dynamic games among teams with asymmetric information\, wher
 e members of a team share their observations internally with a delay of d>
 0. I will describe a general approach to characterize a subset of Nash Equ
 ilibria where the agents can use a compressed version of their information
 \, instead of the full information\, to choose their actions. Our results 
 highlight the tension among compression of information\, existence of (com
 pression based) equilibria\, and backward inductive sequential computation
  of such equilibria in stochastic dynamic games with asymmetric informatio
 n. This is joint work with Hamidreza Tavafoghi\, Vijay Subramanian\, Ashut
 osh Nayyar\, and Demosthenis Teneketzis.\n	\n	Bio: Dengwang Tang is a Ph.D. 
 student at Electrical and Computer Engineering Department of University of
  Michigan. He works with Prof. Vijay Subramanian. He received the B.S.E. d
 egree in Computer Engineering from University of Michigan\, Ann Arbor\, US
 A in 2016. He also received the B.S.E. degree in Electrical and Computer E
 ngineering from Shanghai Jiao-Tong University\, Shanghai\, China in 2016. 
 He received the M.S. degree in Electrical and Computer Engineering from Un
 iversity of Michigan\, Ann Arbor\, USA in 2018. His research interests inc
 lude multi-agent dynamic systems\, dynamic games\, mechanism design\, and 
 information design.\n
DTSTART:20210205T150000Z
DTEND:20210205T160000Z
LOCATION:CA\, ZOOM
SUMMARY:Dynamic Games among Teams with Asymmetric Information
URL:/cim/channels/event/dynamic-games-among-teams-asym
 metric-information-327923
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