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识别动物的复杂认知需要自然的复杂性。

Identifying animal complex cognition requires natural complexity.

作者信息

Boesch Christophe

机构信息

Max-Planck Institute of Evolutionary Anthropology, Leipzig, Germany.

出版信息

iScience. 2021 Feb 18;24(3):102195. doi: 10.1016/j.isci.2021.102195. eCollection 2021 Mar 19.

Abstract

The search for human cognitive uniqueness often relied on low ecological tests unnatural ontogeny. Recently, neuroscience demonstrated the significance of a rich environment on the development of brain structures and cognitive abilities. This stresses the importance to consider the prior knowledge that subjects bring in any experiment. Second, recent developments in multivariate statistics control precisely for a number of factors and their interactions. Making controls in natural observations equivalent and sometimes superior to captive experimental studies without the drawbacks of the latter methods. Thus, we can now investigate complex cognition by accounting for many different factors, as required when solving tasks in nature. Combining both progresses allows us to move toward an "experience-specific cognition", recognizing that cognition varies extensively in nature as individuals adapt to the precise challenges they experience in life. Such cognitive specialization makes cross-species comparisons more complex, while potentially identifying human cognitive uniqueness.

摘要

对人类认知独特性的探索往往依赖于低生态效度的测试和非自然的个体发育过程。最近,神经科学证明了丰富环境对脑结构和认知能力发展的重要性。这凸显了在任何实验中考虑受试者所具备的先验知识的重要性。其次,多元统计的最新进展能够精确控制多种因素及其相互作用。在自然观察中进行的控制等同于甚至有时优于圈养实验研究,且不存在后一种方法的缺点。因此,我们现在可以通过考虑许多不同因素来研究复杂认知,这是在自然环境中解决任务时所必需的。将这两个进展结合起来,使我们能够朝着“特定于经验的认知”迈进,认识到随着个体适应他们在生活中所经历的精确挑战,认知在本质上存在广泛差异。这种认知专业化使得跨物种比较更加复杂,同时有可能识别出人类认知的独特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521c/7937571/0de1017e7d27/fx1.jpg

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