NAVAIR NEXT GENERATION THREAT SYSTEM
Case Study
Problem:
The Navy’s Next-Generation Threat System requires the integration and evaluation of AI models to improve the capability of simulated AI “attackers” to better train pilots in simulation scenarios.
Solution:
Build an AI Taskable Framework to integrate AI learning to continuously improve AI, in Navy training simulations.
- Build an AI Taskable framework to:
- Record: Log the performance of AI in simulations with appropriate critical indicators to enable effective AI reasoning.
- Reason: Understand underlying AI reasoning in battle scenarios.
- Evaluate: Score the quality of the decisions made.
- Design the AI Taskable framework to have plug-and-play components that allow users to easily create scenarios.
Outcome:
- NGTS scenarios better train pilots to learn how to beat a scenario rather than beating a behavior graph.
- AI "attackers" utilize the AI Taskable framework to make more complex and unpredictable decisions in simulated scenarios without the restraints of a preestablished behavior graph.
- AI attackers are also more complex due to their ability to continuously learn from past simulations and continuously present a challenge for users.
