The US Military’s researchers are asking the industry to develop artificial intelligence (AI) algorithms that can potentially simulate challenging enemy behaviour during war games.
This is quite difficult to replace by human role-players.
Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., issued a solicitation (DARPA-PA-19-03-08) for the COnstructive Machine-learning Battles with Adversary Tactics (COMBAT) project.
COMBAT will develop artificial intelligence (AI) algorithms to generate models of enemy brigade behaviors that challenge and adapt to friendly forces in simulation experiments.
“The Defense Advanced Research Projects Agency (DARPA) is issuing a new Artificial Intelligence Exploration (AIE) Opportunity entitled COMBAT, which invites submissions of innovative basic or applied research concepts in the technical domain of Artificial Intelligence, Modeling, and Simulation.
COMBAT will develop artificial intelligence (AI) algorithms to generate models of adversary (Red Force) brigade behaviors that challenge and adapt to U.S. Forces (Blue Force) in simulation experiments. This effort will investigate how an adversary may evolve from current to future tactics based on Blue Force actions and responses.
If successful, COMBAT will rapidly develop multiple feasible Red Force Courses of Action (COA), identify optimal solutions, and provide reasoning to support recommendations. In future war games, COMBAT will deliver an AI Red Force capable of reacting in ways not easily replicated by human role-players, challenging Blue role-players and stimulating the development of new Blue tactics,” the solicitation reads.
The idea is that in future war games, COMBAT will deliver an artificially intelligent enemy that can challenge friendly force participants and stimulate development of new battle tactics.
This is significant, because, currently, war games involve just humans who utilize long-established tactics for both sides.
COMBAT, on the other hand, would seek to disrupt the traditional enemy strategy by generating new and surprising enemy actions.
This would in turn cause friendly forces to develop new tactics in response.
The selected companies will have to model an enemy motorized rifle brigade tactic in a force-on-force model and simulation tool, which the company itself will choose.
This tool must be able to model several company-size enemy forces in a brigade; their command-and-control hierarchies; and behaviors at the brigade, operational, and tactical levels.
Companies selected will develop their initial enemy AI algorithms and behaviors according to “The Russian Way of War: Force Structure, Tactics and Modernization of Russian Ground Forces,” published by the Army Foreign Military Studies Office, 2016.
At the same time DARPA published a pre-solicitation looking for technology that would allow the detection of artificial intelligence systems present in the enemy ranks.
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