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Thoughts Raised by 3 Alpha

机译:3 Alpha提出的想法

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摘要

The game is directly related to the study of decision-making support, and is one of the main contents of artificial intelligence (AI). The changes in playing Go are the most complex, so Go is considered the most challenging game in AI. AlphaGo was the first computer Go to beat the human Go champion, and we call the subsequent AlphaGo Zero, Alpha Zero and it 3$lpha$. Their emergence is a great step in AI and an important milestone in the history of AI, which has also raised some questions that are worth thinking. In this paper, after describing the main characteristics of 3$lpha$, we briefly comment on 3$lpha$, such as its adscription of the success, whether they have intelligence, their research level and so on. Some cross-domain problems caused by 3$lpha$ are considered, such as the symbolization of inductive logic, the new issues of distributed system, the intension of AI, how to implement intelligence, artificial brain, and so on. In addition, we also briefly introduce the conceptual structure of deep learning, the use method of tensor processing unit (TPU) in 3$lpha$ and the main instructions of TPU.
机译:该游戏与决策支持的研究直接相关,并且是人工智能(AI)的主要内容之一。围棋的变化最为复杂,因此围棋被认为是AI中最具挑战性的游戏。 AlphaGo是第一台击败人类围棋冠军的计算机围棋,我们将其称为随后的AlphaGo Zero,Alpha Zero及其3 $ \ alpha $。它们的出现是AI迈出的重要一步,也是AI历史上的重要里程碑,它也提出了一些值得思考的问题。在描述了3 $ \ alpha $的主要特征之后,本文对3 $ \ alpha $进行了简短的评论,例如对3 $ \ alpha $的成功描述,他们是否有智力,他们的研究水平等等。考虑了由3 $ \ alpha $引起的一些跨域问题,例如归纳逻辑的符号,分布式系统的新问题,AI的内涵,如何实现智能,人工大脑等。此外,我们还简要介绍了深度学习的概念结构,3 $ \ alpha $中的张量处理单元(TPU)的使用方法以及TPU的主要说明。

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