Price of Anarchy for Mean Field Games
Optimization and Control
2018-08-31 v2
Abstract
The price of anarchy, originally introduced to quantify the inefficiency of selfish behavior in routing games, is extended to mean field games. The price of anarchy is defined as the ratio of a worst case social cost computed for a mean field game equilibrium to the optimal social cost as computed by a central planner. We illustrate properties of such a price of anarchy on linear quadratic extended mean field games, for which explicit computations are possible. Various asymptotic behaviors of the price of anarchy are proved for limiting behaviors of the coefficients in the model and numerics are presented.
Cite
@article{arxiv.1802.04644,
title = {Price of Anarchy for Mean Field Games},
author = {Rene Carmona and Christy V. Graves and Zongjun Tan},
journal= {arXiv preprint arXiv:1802.04644},
year = {2018}
}
Comments
38 pages, 10 plots