Video game players have competed against computer-controlled opponents for decades, but they haven't been as smart and fast as GT Sophy, the new AI driver on PlayStation's Gran Turismo.
But in some instances, they are also trying to learn how to get smarter in the real world. In a January paper, a University of Cambridge researcher who built an AI agent to control Pokémon characters argued it could “inspire all sorts of applications that require team management under conditions of extreme uncertainty, including managing a team of doctors, robots or employees in an ever-changing environment, like a pandemic-stricken region or a war zone.
In the web-based Pokémon Showdown battle simulator, Sarantinos developed an algorithm to analyze a team of six Pokémon — predicting how they would perform based on all the possible battle scenarios ahead of them and their comparative strengths and weaknesses. Amy Hoover, an assistant professor of informatics at the New Jersey Institute of Technology who’s built algorithms for the digital card game Hearthstone, said “there really is a reason for studying games” but it is not always easy to explain.
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