Simulations of multi-agent drone systems in three scenarios produce scaling laws that collapse performance data onto simple functions and quantify trade-offs in agent count versus platform parameters.
A statistical physics charac- terization of the complex systems dynamics: Quantifying com- plexity from spatio-temporal interactions,
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Scaling and Trade-offs in Multi-agent Autonomous Systems
Simulations of multi-agent drone systems in three scenarios produce scaling laws that collapse performance data onto simple functions and quantify trade-offs in agent count versus platform parameters.