A Nash equilibrium macroscopic closure for kinetic models coupled with Mean-Field Games
Pierre Degond (IMT), Jian-Guo Liu, Christian Ringhofer

TL;DR
This paper develops a macroscopic closure model for kinetic systems of rational agents in mean-field game settings, linking microscopic interactions to Nash equilibria and demonstrating its application to social herding behavior.
Contribution
It introduces a novel kinetic model with a Nash equilibrium-based macroscopic closure for systems of agents in mean-field games, bridging microscopic and macroscopic descriptions.
Findings
Large time behavior characterized by Nash equilibrium
Application to social herding behavior modeled successfully
Provides a new framework for kinetic mean-field game analysis
Abstract
We introduce a new mean field kinetic model for systems of rational agents interacting in a game theoretical framework. This model is inspired from non-cooperative anonymous games with a continuum of players and Mean-Field Games. The large time behavior of the system is given by a macroscopic closure with a Nash equilibrium serving as the local thermodynamic equilibrium. An application of the presented theory to a social model (herding behavior) is discussed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Opinion Dynamics and Social Influence · Complex Systems and Time Series Analysis
