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 (pp. 714-718) [10.1109/ACSSC.2012.6489104].
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.
| File | Dimensione | Formato | |
|---|---|---|---|
|
Large_networks_of_dynamic_agents_Consensus_under_adversarial_disturbances.pdf
Solo gestori archvio
Tipologia:
Versione Editoriale
Dimensione
299.19 kB
Formato
Adobe PDF
|
299.19 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
