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Machine Learning-Driven Game-Theoretic Simulation of Economic Conflict Between nations


Fiachra Bermingham

14/05/2026

Supervised by Richard Booth; Moderated by Bailin Deng

Creating a system that simulates strategic economic behaviour between nations in conflict. The system will explore how countries adapt policies-such as sanctions, tariffs, or alliances using machine learning to maximize their own outcomes within dynamic, game-theoretic environment.


Initial Plan (02/02/2026) [Zip Archive]

Final Report (14/05/2026) [Zip Archive]

Publication Form