AI-Enriched Modeling and Simulation

KBR integrates AI with traditional modeling and simulation tools to improve model performance and deliver a superior user experience. Our AI approach simplifies deployment, provides real-time guidance, automates tasks and enhances decision-making in wargaming and mission analysis.

Sample Use Cases

Predicting Enemy Behavior in Wargaming Scenarios

Campaign Analysis with AI Automation

Predicting enemy behavior in wargaming scenarios

Red Force Response (RFR) is KBR's proof-of-concept decision and training support tool. It integrates AI with wargaming simulation to rapidly predict enemy Course of Action (CoA) and evaluate the effectiveness of friendly orders. Our tool uses Red AI-trained agents that have been developed based on in-game data and reward profiles that reinforce desired behaviors and objectives. It exploits state-of-the-art reinforcement learning algorithms to promote collaboration toward common goals in a multi-agent environment. Our intelligent adversary agent can find both high-performance and novel CoAs based on the reward profile, observations and actions provided to it. The tool is also demonstratively effective at evaluating mission success for different Blue Force CoAs.

Campaign Analysis with AI Automation

KBR integrated AI into BEAM, our enterprise model that simulates major military campaigns across ground, maritime, air, cyber and space domains. BEAM produces a wealth of outcome information including the probability of achieving campaign phase objectives at every time step of a simulated campaign. Our AI Agents enhance human analyst-model teaming, reducing the time required to produce actionable information while generating even deeper insights from the vast amount of BEAM output data.

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