论文标题
语言和领域过度的类别学习中的相互作用
Interactions of Linguistic and Domain Overhypotheses in Category Learning
论文作者
论文摘要
对于人类，学习对世界各地进行分类和区分，他们对潜在类别结构持有的一组假设（过度）与他们的学习过程直接相关。在这项工作中，我们研究了两种过度研究对类别学习的影响：1）存在对象的语言标签所引入的偏见； 2）学习者固有的概念“域”偏向哪些特征最能表示类别结构。这两个偏见协同施加了学习过程的先验。我们对其建模并详细介绍它们的相互作用和效果。本文需要适应和扩展先前的实验工作，该工作解决了标签偏差效应，但没有完全探索概念领域的偏见。我们的结果强调了域和标签偏见在促进或阻碍类别学习中的重要性。
For humans learning to categorize and distinguish parts of the world, the set of assumptions (overhypotheses) they hold about potential category structures is directly related to their learning process. In this work we examine the effects of two overhypotheses for category learning: 1) the bias introduced by the presence of linguistic labels for objects; 2) the conceptual 'domain' biases inherent in the learner about which features are most indicative of category structure. These two biases work in tandem to impose priors on the learning process; and we model and detail their interaction and effects. This paper entails an adaptation and expansion of prior experimental work that addressed label bias effects but did not fully explore conceptual domain biases. Our results highlight the importance of both the domain and label biases in facilitating or hindering category learning.
