This paper presents a geometrical analysis of how local interactions in a large population of categories packed into a feature space create a global structure of feature relevance. The theory is a formal proof that the joint optimization of discrimination and inclusion creates a smooth space of categories such that near categories in the similarity space have similar generalization gradients. Packing theory offers a unified account of several phenomena in human categorization including the differential importance of different features for different kinds of categories, the dissociation between judgments of similarity and judgments of category membership, and children's ability to generalize a category from very few examples.

中文翻译：

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包装：特征选择和类别形成的几何分析

本文对打包到特征空间中的大量类别中的局部交互如何创建特征相关性的全局结构进行了几何分析。该理论是一个正式的证明，即区分和包含的联合优化创建了一个平滑的类别空间，使得相似空间中的近类别具有相似的泛化梯度。包装理论对人类分类中的几种现象提供了统一的解释，包括不同特征对不同种类类别的不同重要性、相似性判断与类别隶属度判断之间的分离，以及儿童从很少的例子中概括一个类别的能力。