Multi-agent free-energy minimization under bounded rationality and local information yields approximate Nash equilibria, with cooperative games represented variationally as Gibbs distributions over coalitions and a free-energy version of the Harsanyi dividend for synergy.
Game theory meets statistical physics: A novel deep neural networks design.IEEE Transactions on Cybernetics, Jan 2026
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A Collective Variational Principle Unifying Bayesian Inference, Game Theory, and Thermodynamics
Multi-agent free-energy minimization under bounded rationality and local information yields approximate Nash equilibria, with cooperative games represented variationally as Gibbs distributions over coalitions and a free-energy version of the Harsanyi dividend for synergy.