Dynamic stochastic games with asymmetric information

Ashutosh Nayyar, Tamer Başar

Research output: Contribution to journalConference articlepeer-review


We consider a dynamic stochastic game with asymmetric information. Multiple controllers jointly control the evolution of a global state process and multiple local state processes. The global state affects every controller's cost while a controller's local state only affects its own cost. We assume that all controllers observe the global state, and in addition each controller observes its own local state. This information structure results in asymmetry of information among the controllers. In general, such asymmetry of information makes it difficult to find or characterize Nash equilibria. However, we show that a simple characterization of a class of Nash equilibria is possible under the assumption that the evolution of the local state processes depends only on the global state and control actions and not on the current or past values of local states. This class of equilibria and their characterization resemble the notion of Markov equilibrium and their characterization in games of symmetric information.

Original languageEnglish (US)
Article number6426857
Pages (from-to)7145-7150
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
StatePublished - 2012
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States
Duration: Dec 10 2012Dec 13 2012

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization


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