Meta-analyses reveal support for the Social Intelligence Hypothesis

IF 11 1区 生物学 Q1 BIOLOGY
Elizabeth M. Speechley, Benjamin J. Ashton, Yong Zhi Foo, Leigh W. Simmons, Amanda R. Ridley
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Abstract

The Social Intelligence Hypothesis (SIH) is one of the leading explanations for the evolution of cognition. Since its inception a vast body of literature investigating the predictions of the SIH has accumulated, using a variety of methodologies and species. However, the generalisability of the hypothesis remains unclear. To gain an understanding of the robustness of the SIH as an explanation for the evolution of cognition, we systematically searched the literature for studies investigating the predictions of the SIH. Accordingly, we compiled 103 studies with 584 effect sizes from 17 taxonomic orders. We present the results of four meta-analyses which reveal support for the SIH across interspecific, intraspecific and developmental studies. However, effect sizes did not differ significantly between the cognitive or sociality metrics used, taxonomy or testing conditions. Thus, support for the SIH is similar across studies using neuroanatomy and cognitive performance, those using broad categories of sociality, group size and social interactions, across taxonomic groups, and for tests conducted in captivity or the wild. Overall, our meta-analyses support the SIH as an evolutionary and developmental explanation for cognitive variation.

Abstract Image

元分析表明,社会智力假设得到了支持。
社会智能假说(SIH)是认知进化的主要解释之一。自该假说提出以来,已经积累了大量研究该假说预测的文献,其中使用了各种方法和物种。然而,该假说的普遍性仍不明确。为了了解 SIH 作为认知进化解释的稳健性,我们系统地检索了有关调查 SIH 预测的研究文献。因此,我们汇编了来自 17 个分类学目 103 项研究的 584 个效应大小。我们介绍了四项荟萃分析的结果,这些结果表明种间、种内和发育研究都支持 SIH。然而,不同的认知或社会性指标、分类学或测试条件之间的效应大小并无显著差异。因此,在使用神经解剖学和认知表现的研究中,在使用社会性、群体大小和社会互动等广泛类别的研究中,在不同分类群中,以及在人工饲养或野外进行的测试中,对SIH的支持是相似的。总体而言,我们的荟萃分析支持 SIH 作为认知变异的进化和发展解释。
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来源期刊
Biological Reviews
Biological Reviews 生物-生物学
CiteScore
21.30
自引率
2.00%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Biological Reviews is a scientific journal that covers a wide range of topics in the biological sciences. It publishes several review articles per issue, which are aimed at both non-specialist biologists and researchers in the field. The articles are scholarly and include extensive bibliographies. Authors are instructed to be aware of the diverse readership and write their articles accordingly. The reviews in Biological Reviews serve as comprehensive introductions to specific fields, presenting the current state of the art and highlighting gaps in knowledge. Each article can be up to 20,000 words long and includes an abstract, a thorough introduction, and a statement of conclusions. The journal focuses on publishing synthetic reviews, which are based on existing literature and address important biological questions. These reviews are interesting to a broad readership and are timely, often related to fast-moving fields or new discoveries. A key aspect of a synthetic review is that it goes beyond simply compiling information and instead analyzes the collected data to create a new theoretical or conceptual framework that can significantly impact the field. Biological Reviews is abstracted and indexed in various databases, including Abstracts on Hygiene & Communicable Diseases, Academic Search, AgBiotech News & Information, AgBiotechNet, AGRICOLA Database, GeoRef, Global Health, SCOPUS, Weed Abstracts, and Reaction Citation Index, among others.
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