AI Wargaming

Definition

AI Wargaming is use of AI agents and simulations to explore adversary moves, blue responses, and campaign dynamics. In defense applications, it expands red-team coverage beyond a small number of hand-scripted scenarios. The hard part is model bias, unrealistic tactics, and overconfidence in simulated outcomes, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as a rehearsal space for KhanBMS planners before live commitment, tying the concept back to modular command, edge execution, and auditable authority.

Reference attributes

Layer

simulation decision method

Operational value

Expands red-team coverage beyond a small number of hand-scripted scenarios

Primary risk

Model bias, unrealistic tactics, and overconfidence in simulated outcomes

KhanBMS role

A rehearsal space for KhanBMS planners before live commitment

Related terms

• Self-Play Training
  Training method where agents improve by competing or cooperating against versions of themselves.
• Digital Twin Simulation
  Live or synchronized synthetic replica of a platform, unit, network, or environment used for testing and rehearsal.
• Multi-Agent Debate (MAD)
  Technique where multiple model agents argue, critique, and revise answers before a decision is surfaced.
• Counter-AI Operations
  Actions that detect, disrupt, deceive, or exploit adversary AI systems and data pipelines.