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自发分类的深度和极限:一个家犬的案例。

Depths and limits of spontaneous categorization in a family dog.

机构信息

Department of Ethology, Eötvös Loránd University, Budapest, Hungary.

MTA-ELTE Comparative Ethology Research Group, Budapest, Hungary.

出版信息

Sci Rep. 2020 Feb 20;10(1):3082. doi: 10.1038/s41598-020-59965-6.

Abstract

Categorization has been tested in non-human animals after extensive training procedures under laboratory conditions and it is assumed that in non-primate species categorization relies on perceptual similarity. We report evidence of the ability to categorize objects in absence of specific training in a family dog with vocabulary knowledge of multiple toys, including exemplars of 4 categories. Our experimental design was devised to test categorization in absence of specific training and based on the spontaneously learned vocal labels of the categories, a condition that mirrors human studies more than previous experiments on non-human animals. We also observed that the dog's categorization skills were more accurate when, prior to the categorization test, she was given the opportunity to play with the novel exemplars, suggesting that category representations arise not only from physical resemblance, but also from objects' affordances (function).

摘要

在经过广泛的实验室条件下的训练程序后,在非人类动物中已经测试了分类,并且假设在非灵长类物种中,分类依赖于感知相似性。我们报告了在没有特定训练的情况下对物体进行分类的证据,这是一只具有多种玩具词汇知识的家庭犬,包括 4 个类别的示例。我们的实验设计旨在测试没有特定训练的分类,并基于类别自发学习的声音标签,这种条件比以前对非人类动物的实验更能反映人类研究。我们还观察到,当狗在分类测试之前有机会玩新的示例时,它的分类技能更准确,这表明类别表示不仅来自物理相似性,还来自物体的可及性(功能)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4434/7033173/5b44f8816ecb/41598_2020_59965_Fig1_HTML.jpg

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