Counterclockwise Dissipativity, Potential Games, and Evolutionary Nash Equilibrium Learning

In this article, we use system-theoretic passivity methods to study evolutionary Nash equilibrium learning in large populations of agents engaged in strategic noncooperative interactions. The agents follow learning rules that specify their strategic preferences, while a payoff mechanism ascribes pay...

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Bibliographic Details
Published in:IEEE transactions on automatic control 2026-01, Vol.71 (1), p.652-659
Main Authors: Martins, Nuno C., Certorio, Jair, Hankins, Matthew S.
Format: Article
Language:English
Subjects:
Aggregates
Asymptotic stability
Correlation
Data mining
Dissipation
Dynamical systems
Equilibrium
evolutionary computation
Evolutionary dynamics
Game theory
Games
Learning
learning systems
Lipschitz condition
multiagent systems
Nash equilibrium
nonlinear dynamical systems
Systems theory
Training
Trajectory
Vectors
Citations: Items that this one cites
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