Autonomous agent behavior model

The autonomous agent behavior model software with an authentic representation of tactical rules in aerial encounters was generated using Artificial Inteligence and Machine Learning techniques, which enabled reduction of scripting complexity for a range of simulated tactical environments. The behavioral patterns are learned through interaction with the environment in series of doctrine based air encounters. Resulting agent behavior responds to actual tactical situation under selected scenario.