AI Driven Simulation For Officer Training: Bridging Theory And Practice
The accelerating pace of digitalisation and autonomous systems challenges traditional officer education. Future leaders must be prepared to operate in environments shaped by artificial intelligence, automation, and complex ethical dilemmas. This paper explores how AI‑driven simulation can enhance readiness and adaptability in officer training, ensuring that cadets develop both technical competence and strategic judgment. Current training models often fail to replicate the unpredictability of modern battlefields. Without integrating emerging technologies, officer education risks lagging behind adversaries who adopt them aggressively. The absence of adaptive, tech-driven methods limits cadets' opportunities to practice decision-making under uncertainty and to confront the ethical and legal questions raised by autonomous systems.
Authors
- Yordan Katsarov
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-09
- DOI
- https://doi.org/10.5281/zenodo.23218560
- Primary Topic
- Military Strategy and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00