In ‘Against Stored Abstractions,’ Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious – why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more – and implies that his view is well supported by neuroscience and computer science. We argue that there is substantial neural, experimental, and computational evidence to the contrary: while both brains and machines can store exemplars, forming categories and storing abstractions is a fundamental part of what they do.

中文翻译：

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抽象对大脑和机器都有好处：Ambridge评论（2020）

在“反对存储的抽象”中，Ambridge使用神经和计算证据来反对抽象表示。他认为，仅存储示例就更省事了-当具有即时计算的示例模型可以完成抽象模型可以做的所有事情时，为什么还要对抽象进行打扰-并暗示他的观点得到了神经科学和计算机科学的大力支持。我们认为，有大量相反的神经，实验和计算证据：尽管大脑和机器都可以存储示例，但是形成类别和存储抽象是它们所做的基本部分。