Designing A Generative AI Platform For Tactical Training Of Junior Officers
Year: 2026
Type: article
Abstract: Tactical decision-making lies at the core of officer education, yet current training methods remain constrained by structural and pedagogical limitations. Traditional wargames offer valuable experience but are organisationally difficult, time-intensive, and often emphasise flows of play over cognitive decision-making. Tactical Decision Games (TDGs) partially address this gap, but their effectiveness is limited by instructor capacity, single-point decisions, limited scenario diversity, and significant instructor-to-trainee bias. Recent advances in large language models (LLMs) and conversational agents offer a promising avenue to mitigate these shortcomings. AI-driven platforms could generate numerous, varied, and realistic tactical scenarios; support multi-step decision cycles with adaptive adversaries; visualise battlefield dynamics; and provide transparent, personalised feedback.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7162032858
FWCI:
Cites:
Cited by:
Related to: