Volume 13, Number 5

Artificial Intelligence to Optimize Countries’ Macroeconomic and Environmental Programs


Xavier Castellani, CNAM, National Conservatory of Arts and Jobs, and Cedric computer science laboratory of the CNAM, Paris, France


We present how artificial intelligence can be used to optimize countries' macroeconomic and environmental programs for a given period. We use an automaton that manages possible changes to a country’s membership of country unions, an Expert System based on macroeconomic and environmental rules, and an optimizer of rules, scenarios, and programs. This approach can be applied to any country by using its historical data and by quantifying parameters suitable for that country: name of the country, population, cash, situation in relation to country’s unions, constraints (in particular limit values that must be respected by the programs), and macroeconomic and environmental rules parameters. As example, we apply the presented process to examples of France’ programs. We put forward optimizations of four macroeconomic and environmental scenarios, and seven macroeconomic and environmental programs for France from 2022–2026 in line with different objectives. We then quantify the significant improvements obtained with their optimizations.


Artificial intelligence, Expert systems, Information systems, Optimization, Macroeconomics.