aceResearch on International Politics Combining Coverage Set Theory With Artificial Intelligence
International conflicts in the post-Cold War era are characterized by multi-dimensional coupling and rapid evolution, and it is difficult for traditional models to capture their high-order nonlinear mechanisms. This paper proposes a dual-loop dynamic modeling framework that integrates Transformer and graph neural network (GNN) to collaboratively describe cross-domain events, trade dependence and multilateral voting relationships. Experiments show that the accuracy of this model is about 12% higher than that of b…
A dual-loop Transformer and graph neural network model predicted conflicts with about 12% higher accuracy than baselines and flagged high-intensity conflicts three weeks early, giving diplomats a quantitative risk-warning tool.
Evidence
- Peer-reviewedInternational Journal of Decision Support System Technology2026-10-15
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Truvace Impact Record TRV-2026-1667, v1: “Research on International Politics Combining Coverage Set Theory With Artificial Intelligence.” Truvace, 2026-10-17. /record/TRV-2026-1667 (accessed at citation time). sha256 d18e54c384d0afcb…
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