The world’s best Gran Turismo players are still finishing ahead of Sophy at tournaments, but average players will find it hard to beat - and can adjust difficulty settings depending on how much they want to be challenged. This is good,’ or, ‘You’re off the track. “The reward is going to tell you that, ‘You’re making progress. The technology behind Sophy is based on an algorithmic method known as reinforcement learning, which trains the system by rewarding it when it gets something right as it runs virtual races thousands of times. Its research paper introducing Sophy last year made it on the cover of the prestigious science journal Nature, which said it could potentially have effects on other applications such as drones and self-driving vehicles. Japanese electronics giant Sony launched its own AI research division in 2020 with entertainment in mind, but it’s nonetheless attracted broader academic attention. “It’s probably not going to be one big breakthrough and that everything is going to be shifted to the real world,” Volz said. Games also offer a useful testbed for AI - including for some real-world applications in robotics or health care - that’s safer to try in a virtual world, said Vanessa Volz, an AI researcher at the Danish startup Modl.ai, which builds AI systems for game development. “People aren’t always understanding that the point is about the optimization method rather than the game,” she said. “If you use psychology tests, you can take this information to conclude how well they can work together.”Īmy 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. While it ”goes without stating” that real humans behave quite differently from fictional video game creatures, “the core ideas can still be used,” Sarantinos said. Researchers hope some of their learnings could eventually play a role in real-world technology, such as how to get a home robot to take on certain chores without having to program it to do so. ![]() Microsoft, which owns the popular Minecraft game franchise as well as the Xbox game system, has tasked AI agents with a variety of activities - from steering clear of lava to chopping trees and making furnaces. 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. “Reality is like a super-complicated game,” said Nicholas Sarantinos, who authored the Pokémon paper and recently turned down a doctoral offer at Oxford University to start an AI company aiming to help corporate workplaces set up more collaborative teams. ![]() Now a new branch of research is more focused on performing open-ended tasks in complex worlds and interacting with humans, not just for the purpose of beating them. ![]() Initially, AI was used on games like checkers and chess to test at winning strategy games. 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.”Īnd while that might sound like a kid making a case for playing three more hours of Pokémon Violet, the study of games has been used to advance AI research - and train computers to solve complex problems - since the mid-20th century. Visit an artificial intelligence laboratory at universities and companies like Sony, Google, Meta, Microsoft and ChatGPT-maker OpenAI and it’s not unusual to find AI agents like Sophy racing cars, slinging angry birds at pigs, fighting epic interstellar battles or helping human gamers build new Minecraft worlds - all part of the job description for computer systems trying to learn how to get smarter in games.īut in some instances, they are also trying to learn how to get smarter in the real world.
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