The game of Go was the last great challenge for artificial intelligence in abstract board games. AlphaGo was the first system to reach supremacy, and subsequent implementations further improved the state of the art. As in chess, the fall of the human world champion did not lead to the end of the game. Now, we have renewed interest in the game due to new questions that emerged in this development. How far are we from perfect play? Can humans catch up? How compressible is Go knowledge? What is the computational complexity of a perfect player? How much energy is really needed to play the game optimally? Here, we investigate these and related questions with respect to the special properties of Go (meaningful draws and extreme combinatorial complexity). Since traditional board games have an important role in human culture, our analysis is relevant in a broader context. What happens in the game world could forecast our relationship with AI entities, their explainability, and usefulness.

中文翻译：

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游戏还没有结束—进入后AlphaGo时代

Go游戏是抽象棋盘游戏中人工智能面临的最后一个重大挑战。AlphaGo是第一个达到霸主地位的系统，随后的实现进一步改善了现有技术水平。就像在国际象棋中一样，人类世界冠军的失败并没有导致游戏的结束。现在，由于此开发过程中出现了新问题，我们对游戏重新产生了兴趣。我们离完美比赛还有多远？人类能赶上吗？Go知识的可压缩性如何？完美玩家的计算复杂度是多少？最佳玩游戏真的需要多少能量？在这里，我们针对Go的特殊属性（有意义的平局和极端的组合复杂性）调查了这些及相关问题。由于传统棋盘游戏在人类文化中具有重要作用，我们的分析在更广泛的范围内是相关的。游戏世界中发生的事情可以预测我们与AI实体的关系，它们的可解释性和有用性。