Suppr超能文献

探寻麦克菲尔零假设的关键所在:鱼类数值能力的贡献

Searching for the Critical of Macphail's Null Hypothesis: The Contribution of Numerical Abilities of Fish.

作者信息

Miletto Petrazzini Maria Elena, Pecunioso Alessandra, Dadda Marco, Agrillo Christian

机构信息

School of Biological and Chemical Sciences, Queen Mary University of London, London, United Kingdom.

Department of General Psychology, University of Padova, Padua, Italy.

出版信息

Front Psychol. 2020 Jan 31;11:55. doi: 10.3389/fpsyg.2020.00055. eCollection 2020.

Abstract

In 1985, Macphail argued that there are no differences among the intellects of non-human vertebrates and that humans display unique cognitive skills because of language. Mathematical abilities represent one of the most sophisticated cognitive skills. While it is unquestionable that humans exhibit impressive mathematical skills associated with language, a large body of experimental evidence suggests that Macphail hypothesis must be refined in this field. In particular, the evidence that also small-brained organisms, such as fish, are capable of processing numerical information challenges the idea that humans display unique cognitive skills. Like humans, fish may take advantage of using continuous quantities (such as the area occupied by the objects) as proxy of number to select the larger/smaller group. Fish and humans also showed interesting similarities in the strategy adopted to learn a numerical rule. Collective intelligence in numerical estimation has been also observed in humans and guppies. However, numerical acuity in humans is considerably higher than that reported in any fish species investigated, suggesting that quantitative but not qualitative differences do exist between humans and fish. Lastly, while it is clear that contextual factors play an important role in the performance of numerical tasks, inter-species variability can be found also when different fish species were tested in comparable conditions, a fact that does not align with the null hypothesis of vertebrate intelligence. Taken together, we believe that the recent evidence of numerical abilities in fish call for a deeper reflection of Macphail's hypothesis.

摘要

1985年,麦克菲尔认为非人类脊椎动物的智力没有差异,而人类由于语言而展现出独特的认知技能。数学能力是最复杂的认知技能之一。虽然人类展现出与语言相关的令人印象深刻的数学技能这一点毋庸置疑,但大量实验证据表明,麦克菲尔的假设在这一领域必须加以完善。特别是,有证据表明,像鱼类这样脑容量小的生物也能够处理数字信息,这对人类展现出独特认知技能这一观点提出了挑战。和人类一样,鱼类可能会利用连续量(如物体所占面积)作为数量的替代指标来选择较大/较小的群体。在学习数字规则所采用的策略上,鱼类和人类也表现出有趣的相似之处。在人类和孔雀鱼中还观察到了数字估计中的集体智慧。然而,人类的数字敏锐度远高于所研究的任何鱼类,这表明人类和鱼类之间存在的是数量上而非质量上的差异。最后,虽然很明显情境因素在数字任务的表现中起着重要作用,但在可比条件下对不同鱼类进行测试时,也能发现种间差异,这一事实与脊椎动物智力的零假设不一致。综上所述,我们认为鱼类数字能力的最新证据需要对麦克菲尔的假设进行更深入的思考。

相似文献

5
Revisited: Pigeons Have Much Cognitive Behavior in Common With Humans.再探:鸽子与人类有许多共同的认知行为。
Front Psychol. 2021 Jan 21;11:618636. doi: 10.3389/fpsyg.2020.618636. eCollection 2020.
7
Large number discrimination in newborn fish.新生儿鱼类的大量数辨别。
PLoS One. 2013 Apr 23;8(4):e62466. doi: 10.1371/journal.pone.0062466. Print 2013.
8
Understanding the origin of number sense: a review of fish studies.理解数感的起源:鱼类研究综述。
Philos Trans R Soc Lond B Biol Sci. 2017 Feb 19;373(1740). doi: 10.1098/rstb.2016.0511.
9
Use of number by fish.鱼类对数字的运用。
PLoS One. 2009;4(3):e4786. doi: 10.1371/journal.pone.0004786. Epub 2009 Mar 10.
10
Large number discrimination by mosquitofish.鳉鱼的大量数字辨别能力。
PLoS One. 2010 Dec 22;5(12):e15232. doi: 10.1371/journal.pone.0015232.

本文引用的文献

2
Understanding the origin of number sense: a review of fish studies.理解数感的起源:鱼类研究综述。
Philos Trans R Soc Lond B Biol Sci. 2017 Feb 19;373(1740). doi: 10.1098/rstb.2016.0511.
3
Exploring the solitaire illusion in guppies (Poecilia reticulata).探索孔雀鱼(孔雀花鳉)中的纸牌错觉。
J Comp Psychol. 2018 Feb;132(1):48-57. doi: 10.1037/com0000092. Epub 2017 Dec 14.
4
Numerical abilities in fish: A methodological review.鱼类的数字能力:方法学综述。
Behav Processes. 2017 Aug;141(Pt 2):161-171. doi: 10.1016/j.beproc.2017.02.001. Epub 2017 Feb 3.
10
Use of ordinal information by fish.鱼类对顺序信息的运用。
Sci Rep. 2015 Oct 26;5:15497. doi: 10.1038/srep15497.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验