Shulou(Shulou.com)11/24 Report--

CTOnews.com March 14-Earlier this year, an amateur Go player overwhelmingly defeated a top Go AI system. He used a program designed by researchers to detect weaknesses in systems like KataGo and develop strategies accordingly. In fact, the victory is just a microcosm of the resurgence of Go in recent years. Since AlphaGO's historic victory against the human champion in 2016, human Go players have become more creative.

In a recent study published in the Proceedings of the National Academy of Sciences, researchers from City University of Hong Kong and Yale University found that human Go players have become more unpredictable in recent years. According to CTOnews.com, researchers analyzed more than 5.8 million Go moves in professional games between 1950 and 2021. They used a "Superman" Go AI, a program that can play Go and assess the quality of the pieces dropped, to create a statistic called the Decision Quality Index (DQI).

By assigning a DQI score to each drop in the dataset, the team found that professional chess improved slowly until 2016. At most, the median annual change in DQI was positive 0.2. In some years, the overall level has even declined. However, after the rise of "Superman" artificial intelligence in 2018, the median rate of change in DQI exceeded 0.7. During the same period, professionals adopted more novel strategies. 88% of the races in 2018 (63% in 2015) featured combinations not seen before.

"Our findings suggest that the development of super-AI programs may prompt human players to break away from traditional strategies and explore novel drops, thereby improving their decision-making. The team wrote.

This is an interesting change, but not entirely unexpected. "It's not surprising that players who train with machines tend to make more machine-approved moves," said Stuart Russell, a professor at the University of California, Berkeley. "

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