In games with status-quo inertia, action-space modifications outperform incentive-based interventions for equilibrium transitions.
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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.
Proposes a probabilistic framework for latent agentic substructures in DNNs using log-score utilities and log pooling, with proofs on unanimity and an application to persona emergence in LLM alignment.
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