El proyecto tiene como objetivo crear compañeros de equipo de IA “multiagente” que puedan participar en ejercicios militares, reaccionar en tiempo real y ayudar a los estudiantes a navegar en escenarios de rápido movimiento y alto riesgo, haciendo que los juegos de guerra digitales se sientan más como algo real.
AMESA has scored a $1.25-million contract from the US Air Force’s innovation arm, AFWERX, to expand its Agent Cloud AI wargaming system at Air University in Alabama, the service’s main hub for professional military education.
The project aims to build “multi-agent” AI teammates that can jump into military exercises, react in real time, and help students navigate fast-moving, high-stakes scenarios, making digital wargaming feel more like the real thing.
Players can use their digital teammates to test strategies, stress-test decisions, and explore risks before they reach live training.
“We built the AMESA Agent Cloud as a training ground for intelligent systems, to give AI agents a place to practice, fail safely, and grow stronger through feedback,” said Kence Anderson, founder and CEO of AMESA.
“Applying this framework to Air Force wargaming brings us closer to a future where human and machine decision-making evolve together.”
Air University officials expressed a similar view, saying the project will help future officers work through competing tactics under realistic pressure.
“AI tools, like AMESA’s multi-agent orchestration and practice platform, are being developed to provide the ability to incorporate AI agents as adaptive teammates in wargaming,” said Lisle Babcock, director of the Air Force Wargaming Institute.
Expanding Troop Preparations With AI
The contract award follows a US Air Force request for technology last August to modernize wargaming, shifting away from slow tabletop drills to cloud-based simulations that respond in real time.
In a separate initiative, the service asked industry for AI systems capable of scaling to thousands of players, running scenarios at “super real-time” speeds, and letting planners test strategies before they are fielded.
Fuente: https://militaryai.ai
