Governing sustainability under planetary boundaries and ethical constraints requires integrated computational architectures capable of navigating trade-offs across five dimensions (ecological integrity, economic viability, social equity, human health, and animal welfare) simultaneously. This study develops a neural artificial intelligence framework for culturally discounted sustainability networks (AI-CDSN) that operationalizes Doughnut Economics principles through five coupled modules: neural ordinary differential equations with ecological regularization for capital-resource forecasting, graph attention networks quantifying asymmetric cross-dimensional spillovers, NSGA-III multi-objective optimization, Deep Q-Network reinforcement learning for adaptive policy allocation, and sigmoid discounting embedding intergenerational equity principles. Regional simulations across four implementations achieve robust trajectory prediction with narrow confidence intervals. Capital stocks converge at negative 8.4 with standard deviation 0.2, renewables at negative 2.6 with standard deviation 0.1, and non-renewables at negative 3.5 with standard deviation 0.1 across 100 time steps representing 200-year projections. Material allocation stabilizes at steel 48%, concrete 22%, and timber 30% with coefficient of variation below 2%. Graph attention networks reveal directional asymmetry between ecological integrity and animal welfare dimensions (0.642 vs. 0.583). Reinforcement learning navigates multi-objective trade-offs, with mean rewards stabilizing at 1.5 with standard deviation 0.5. Five-dimensional assessment within safe and just operating space demonstrates animal welfare at 0.85, health at 0.78, social equity at 0.64, ecological integrity at 0.61, and economic viability at 0.33. Cultural discounting transitions from 0.38 to 0.97 across generational horizons. Ethical regularization reduces computational energy by 22%. This framework addresses critical gaps in IPCC, IPBES, and UN governance frameworks by embedding intergenerational equity within planetary boundary compliance.
Mohammad Fazle Rabbi (Wed,) studied this question.