Analysis and Interventions in Large Network Games
Name
SSRN-id3692826.pdf
Description
Accepted version
Size
1017.1 KB
Format
Adobe PDF
Checksum (MD5)
f9ab567b5a02f9b52cc811fef6c5cf11
Author(s)
Parise, Francesca
Ozdaglar, Asuman
Date Issued
May 3, 2021
Journal
Annual Review of Control, Robotics, and Autonomous Systems
Publisher
Annual Reviews
Citation
Parise, Francesca and Ozdaglar, Asuman. 2021. "Analysis and Interventions in Large Network Games." Annual Review of Control, Robotics, and Autonomous Systems, 4 (1).
Version
Author's final manuscript
Abstract
We review classic results and recent progress on equilibrium analysis, dynamics, and optimal interventions in network games with both continuous and discrete strategy sets. We study strategic interactions in deterministic networks as well as networks generated from a stochastic network formation model. For the former case, we review a unifying framework for analysis based on the theory of variational inequalities. For the latter case, we highlight how knowledge of the stochastic network formation model can be used by a central planner to design interventions for large networks in a computationally efficient manner when exact network data are not available.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1146/annurev-control-072020-084434
