An AI-powered evaluation of mineral resources and legacy mines strategies: A methodology for strengthening the geopolitical role of Greece

Abstract

This paper explores how Greece can enhance its geopolitical role and potential by strategically managing its mineral and legacy mining resources. An artificial intelligence (AI)-powered methodology, based on the fuzzy analytical hierarchy process (FAHP), is applied to evaluate national strategies. The decision-making assessment was conducted by properly simulated domain-specific artificial intelligence agents (AGs), integrated with multilayer perceptrons (MLPs) architecture and generative pre-trained transformer (GPT) analytics. The simulation results were validated by human experts. Three alternative geopolitical strategies were evaluated, of which a hybrid strategy that combines strong regulatory frameworks and innovation with active participation in EU and regional initiatives was shown to be the most geopolitically advantageous and sustainable. It offers a synergistic, multilaterally stabilized model for the exploitation of Greece's mineral resources, along with geopolitical benefits. It is also demonstrated how AI can support complex decision-making problems in natural resource geopolitics, offering a replicable and effective model for sustainable strategy selection and development in post-mining global contexts and dynamics.