New AI controller stabilizes complex economic growth models
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2025 21:11 ET (31-Oct-2025 01:11 GMT/UTC)
New AI Controller Stabilizes Complex Economic Growth Models
Breakthrough research combines differential flatness theory and adaptive fuzzy control to manage economic uncertainties, offering a novel tool for policy simulation and stabilization.
[Greece/Tunisia/Italy] – A team of international researchers has developed a groundbreaking artificial intelligence (AI) method to control and stabilize the Uzawa-Lucas endogenous growth model, a cornerstone economic theory that describes the interaction between physical capital (like machinery) and human capital (like skills and knowledge). This novel approach, which functions without needing a precise mathematical model of the economy, could provide a powerful new tool for economists and policymakers to design more stable and effective economic policies.
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