6533b85bfe1ef96bd12bb718

RESEARCH PRODUCT

Large Networks of Dynamic Agents: Consensus under Adversarial Disturbances

Dario BausoTamer Basar

subject

education.field_of_studyTheoretical computer scienceSequential gameGame Theory; optimization; controlDistributed computingStochastic gamePopulationNormal-form gameComputingMilieux_PERSONALCOMPUTINGCombinatorial game theoryBayesian gameGame TheoryRepeated gameeducationGame theoryoptimizationcontrolMathematics

description

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.

http://hdl.handle.net/10447/77861