This paper studies interactions among homogeneous social groups within the framework of large population games. Each group is represented by a network and the behavior described by a two-player repeated game. The contribution is three-fold. Beyond the idea of providing a novel two-level model with repeated games at a lower level and population games at a higher level, we also establish a mean field equilibrium and study state feedback best-response strategies as well as worst case adversarial disturbances in that context.
Bauso, D., Basar, T. (2012). Large Networks of Dynamic Agents: Consensus under Adversarial Disturbances. In Asilomar Conference on Signals, Systems, and Computers, [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6489104].
Large Networks of Dynamic Agents: Consensus under Adversarial Disturbances
BAUSO, Dario;
2012-01-01
Abstract
This paper studies interactions among homogeneous social groups within the framework of large population games. Each group is represented by a network and the behavior described by a two-player repeated game. The contribution is three-fold. Beyond the idea of providing a novel two-level model with repeated games at a lower level and population games at a higher level, we also establish a mean field equilibrium and study state feedback best-response strategies as well as worst case adversarial disturbances in that context.
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