Putting Artificial Intelligence On The Hunt For Poachers

The problem of how to defend a country changes when your attacker isn’t acting rationally. Terrorists put their causes above their home country and don’t necessarily fear death or retaliation. So shortly 9/11, Milind Tambe, a professor of computer science and engineering at USC, proposed a radical new style of protection: Why not use artificial intelligence to make your own targets harder to attack? By matching predictive algorithms with machine learning and some massive processing power, you could create a computer program capable of figuring out how to deploy limited security forces around sensitive places most effectively. The trick would be for those schedules or formations to remain unpredictable. “If you play rock-paper-scissors you don’t want to play one strategy or your adversary can defeat it. You want to randomize.…


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