By simulating a phase-and-amplitude Kuramoto model on all-to-all and scale-free networks, the paper shows that stronger coupling increases synchronization among heterogeneous AI agents, and proposes this as a model for agentic AI coordination.
Newman, Networks: An Introduction (Oxford Uni- versity Press, New York, 2010)
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Synchronization Dynamics of Heterogeneous, Collaborative Multi-Agent AI Systems
By simulating a phase-and-amplitude Kuramoto model on all-to-all and scale-free networks, the paper shows that stronger coupling increases synchronization among heterogeneous AI agents, and proposes this as a model for agentic AI coordination.