New Method to Coping with Shifting Enemy Tactics

New Method to Coping with Shifting Enemy Tactics

simulation

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U.S. military is looking to develop artificial intelligence (AI) algorithms to simulate challenging enemy behavior during war games that reacts in ways not easily replicated by human role-players. The project seeks to model how an adversary may evolve from current to future tactics based on friendly force actions and responses. The idea is to develop several feasible enemy courses of action rapidly, identify optimal solutions, and provide reasoning to support recommendations.

The U.S. Defense Advanced Research Projects Agency (DARPA) issued a solicitation for the COnstructive Machine-learning Battles with Adversary Tactics (COMBAT) project.

COMBAT will develop artificial intelligence algorithms to generate models of enemy brigade behaviors that challenge and adapt to friendly forces in simulation experiments.

In future war games, COMBAT will deliver an artificially intelligent enemy that can challenge friendly force participants and stimulate development of new battle tactics.

Army war games today use enemy operators who rely on long-established tactics against their friendly opponents. COMBAT seeks to disrupt traditional enemy strategy by generating surprising new enemy actions using AI. This will challenge the preconceptions and require new friendly force tactics. Emerging AI techniques never have been applied to this before.

According to militaryaerospace.com, companies selected will model enemy motorized rifle brigade tactics in a force-on-force modeling and simulation tool of the performer’s choosing. Modeling entities at the company-level reduces the effect of terrain on individual units, while still displaying representative capabilities.