Approximate master equations for the spatial public goods game
This paper introduces approximate master equations (AMEs) to analytically model the spatial public goods game, demonstrating that these equations yield results qualitatively consistent with Monte Carlo simulations and enable the analytical derivation of phase boundaries in both high-noise and noiseless regimes.