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.
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Acknowledgements
This work has been supported by KI-Net NSF RNMS grant No. 1107291. JGL and CR are grateful for the opportunity to stay and work at the Institut de Mathématiques de Toulouse in fall 2012, under sponsorship from Centre National de la Recherche Scientifique and University Paul-Sabatier. The authors wish to thank A. Blanchet from University Toulouse 1 Capitole for enlightening discussions.
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Communicated by A. Bertozzi.
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Degond, P., Liu, JG. & Ringhofer, C. Large-Scale Dynamics of Mean-Field Games Driven by Local Nash Equilibria. J Nonlinear Sci 24, 93–115 (2014). https://doi.org/10.1007/s00332-013-9185-2
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DOI: https://doi.org/10.1007/s00332-013-9185-2
Keywords
- Non-cooperative non-atomic anonymous games
- Continuum of players
- Rational agent
- Best-reply scheme
- Local Nash equilibrium
- Potential games
- Social herding behavior
- Coarse graining procedure
- Macroscopic closure
- Kinetic theory