1 Bio-inspired Digital Sensing (BIDS) Lab, School of Media and Communication, RMIT University , Melbourne, Victoria , Australia.
3 Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS , Toulouse , France.
Proc Biol Sci. 2019 Jun 12;286(1904):20190238. doi: 10.1098/rspb.2019.0238. Epub 2019 Jun 5.
The assignment of a symbolic representation to a specific numerosity is a fundamental requirement for humans solving complex mathematical calculations used in diverse applications such as algebra, accounting, physics and everyday commerce. Here we show that honeybees are able to learn to match a sign to a numerosity, or a numerosity to a sign, and subsequently transfer this knowledge to novel numerosity stimuli changed in colour properties, shape and configuration. While honeybees learned the associations between two quantities (two; three) and two signs (N-shape; inverted T-shape), they failed at reversing their specific task of sign-to-numerosity matching to numerosity-to-sign matching and vice versa (i.e. a honeybee that learned to match a sign to a number of elements was not able to invert this learning to match the numerosity of elements to a sign). Thus, while bees could learn the association between a symbol and numerosity, it was linked to the specific task and bees could not spontaneously extrapolate the association to a novel, reversed task. Our study therefore reveals that the basic requirement for numerical symbolic representation can be fulfilled by an insect brain, suggesting that the absence of its spontaneous emergence in animals is not due to cognitive limitation.
将符号表示与特定数量进行对应是人类解决代数、会计、物理和日常商业等各种应用中复杂数学计算的基本要求。在这里,我们展示了蜜蜂能够学习将符号与数量或数量与符号进行匹配,并随后将这种知识转移到颜色属性、形状和配置发生变化的新数量刺激上。虽然蜜蜂学会了将两个数量(二;三)和两个符号(N 形;倒 T 形)之间的关联,但它们无法将符号与数量的匹配任务反转到数量与符号的匹配任务,反之亦然(即,学会将符号与元素数量进行匹配的蜜蜂无法将这种学习反转来将元素的数量与符号进行匹配)。因此,尽管蜜蜂可以学习符号和数量之间的关联,但这种关联与特定任务相关联,蜜蜂无法自发地将这种关联推断到新的、反转的任务中。因此,我们的研究表明,昆虫大脑可以满足数字符号表示的基本要求,这表明动物中数字符号表示的自发出现不是由于认知限制。