Hadean has successfully delivered a new training capability funded through the Defence and Security Accelerator (DASA) under a Defence Science and Technology Laboratory (Dstl) contract.This project enabled us to research and develop a scalable, AI-driven synthetic training environment designed to populate the digital worlds of military training with realistic and dynamic human terrains.
The project uses AI to create a realistic simulation of A3E (Audiences, Actors, Adversaries, and Enemies). The system features end-to-end AI interfacing, responding dynamically to events and actions in the training
exercise, with end-to-end AI interfacing, as well as in-depth after-action analysis.
Our solution injects civilian behaviours and sentiment into a dynamic social
media environment, automatically summarising events for after-action review (AAR). This integration capability provides a more authentic and complex training experience for trainees, enhancing their ability to navigate multi-domain operations.
Our simulation created responsive A3E entities that adapt to cues, stressors, and frictions across human and information domains.
We implemented the ability to scale populations of simulated civilians according to the specific requirements of each simulation scenario.
A large language model (LLM)-generated social media feed reflected population sentiment, tracking civilian responses to events in real-time.
Our AI provided immediate insights through after-action reviews, enabling faster and more informed decision-making.
Our AI provided immediate insights through after-action reviews, enabling faster and more informed decision-making.
Dynamic, AI-driven human terrains add depth and authenticity to training exercises.
Real-time simulation responses enrich situational awareness across multiple domains.
Flexible population scaling ensures tailored training for any scenario.
Real-time social media and sentiment analysis introduce evolving complexities.
Rapid after-action reviews enable immediate feedback and training adjustments.
Principal Scientist, Futures and Innovation Group, Dstl