翻译：
How does artificial intelligence (AI) think?
(1) Summary:
人工智能的思维方式，指机器在处理数据时赖以形成结论的推理范式，核心包括从样本归纳出一般规律、由已知条件演绎结论，以及把已有知识类比迁移到新情境三种，解决的是机器如何从具体数据中总结规律并推断未见过样本的问题；它并不解决机器缺乏人类生活经验与常识储备的短板。
(2) Interpretation:
Deduction is another way of thinking in artificial intelligence (AI). It is the process of drawing conclusions from known conditions. For example, machines can derive answers from known mathematical theorems and formulas. This method can be applied to problem solving and judgment reasoning.
(3) Analogy:
Analogy is the third way of thinking in artificial intelligence (AI). This means that machines can apply existing knowledge to new situations. For example, machines can mimic the use of human language to group similar words into the same category. This approach creates the ability for machines to learn the latest skills, helping them to better handle new data and tasks.
Overall, the underlying logic and way of thinking of artificial intelligence (AI) are very important parts. Familiarity with these aspects can lead to a better understanding of the machine’s learning process and better application of artificial intelligence (AI) techniques.
