Most attempts to justify the use of idealized models to explain appeal to the accuracy of the model with respect to difference-making causes. In this article, I argue for an alternative way to justify using idealized models to explain that appeals to universality classes. In support of this view, I show that scientific modelers seeking to explain stable limiting behaviors often explicitly appeal to universality classes in order to justify their use of idealized models to explain.

中文翻译：

---

普遍性和建模限制行为

大多数尝试证明使用理想化模型来解释对模型的准确性的吸引力在产生差异的原因方面是合理的。在本文中，我主张另一种方法来证明使用理想化模型来解释对普遍性类的吸引力。为支持这一观点，我表明，寻求解释稳定限制行为的科学建模者通常明确诉诸普遍性类别，以证明他们使用理想化模型进行解释是合理的。