更为形式化地表示，即从许多用例A和B进行归纳学习得到一个一般性规则R。
To make it more formal, induction learns a general rule R (concerning A and B) from numerous examples of A and B.
我们既可以从一个概念进行推广也可以从一组描述训练数据性质的一般性规则中进行推断。
We either generalize towards a concept or infer a set of general rules that describe the qualities of the training data.
元胞自动机提供一个虚拟的微观世界，能够在粗粒化程度上再现符合一般性规则的物理现象。
Cellular Automata provides us with a virtual microcosmic world. It can reproduce physical phenomenon that fit common law in some scales.
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