Understanding how these actors might make decisions under a new system-and how decisions will intersect-is critical to implementing any new policy successfully. For example, in acquisition policy, tensions between Congress and the DoD, between joint and service interests, and between government and commercial standard operating procedures, have long been cited as sources of delay and increased costs. But when it comes to managing the DoD, bureaucratic competition plays a major role in policy outcomes. Classically, we think about opposing “blue” and “red” players in conflict. Gaming new policies that govern these areas can offer early insights into potential stumbling blocks and provide leaders valuable feedback on decisions before major costs are incurred.Īll games can be used to understand how humans make decisions in environments shaped by competition. Defense acquisition, personnel, and management systems have long been seen as areas in need of reform, as costs and man-hours continue to increase over the years. However, applying games to the internal policies of the Department of Defense can also offer strategic advantage. The additions introduce complexity to stretch the limits of “Command” so that the AI models can figure out the many unfair ways to play, keeping in mind the potential requirements of customers to incorporate data from a wide variety of sources.Often when we think of the impact of wargames, we envision operational warfighting or strategic crisis management games. On top of the usual play of Command, the team added layers of more offensive capabilities with bombers, submarines, and surface-to-air and Tomahawk missiles. “A lot of the platform is based in reality, and we took that and made it into a chess game,” McKendrick said. They’ve created their own game within the game of Command, introducing more than 200 quadrillion options that aim to find causal models within the game which can be used to create advantages. Their team works closely with two companies, Hazardous Software and Slitherine Software’s Matrix Games, to model and break the natural balance within a highly complex war simulator environment called “Command: Modern Operations.” ![]() I had access to information that others might not have had.”ĭARPA awarded the Gamebreaker contract to Northrop Grumman in May, and now McKendrick, Cherry and other colleagues are using AI models to discover the edge found in a game. “I developed a deeper knowledge of what to do. “Anyone could have found these parameterizations of the car,” McKendrick said. ![]() Knowing the ‘broken’ states of the game can create an imbalance that allows a player to catch opponents off guard, a methodology that could then be applied to other games - and maybe, eventually, real-life military strategy. Deploying AI in a real-time war game called “Command,” Northrop Grumman developers hope to find any unfair advantages that give friendly forces an edge. Defense Advanced Research Projects Agency (DARPA) program. This year, Northrop Grumman landed a contract to apply AI models in “Gamebreaker,” a U.S. That’s why Northrop Grumman hopes to solve the mysteries of games by using artificial intelligence (AI) to glean insight that’s out of reach of human observation. ![]() The study of gaming might be as old as gaming itself, but there are limits to how much information the naked eye can discern. At the heart of every good game, there’s a game within the game. Games themselves provide an understanding of how contestants strategize, react to unexpected challenges and avoid costly consequences.
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