Human cognitive limitations and emotions: The emergence of social complexity

IF 2 4区 生物学 Q2 BIOLOGY
Pedro C. Marijuán , Jorge Navarro
{"title":"Human cognitive limitations and emotions: The emergence of social complexity","authors":"Pedro C. Marijuán ,&nbsp;Jorge Navarro","doi":"10.1016/j.biosystems.2025.105454","DOIUrl":null,"url":null,"abstract":"<div><div>An evolutionary approach to human cognition and social complexity, acknowledging the essential role of social emotions, is attempted. From the start, every kind of cognition, either artificial or natural, is limited. In living beings, it is the life cycle, life course, or life history what determines the extension, intensity, and limitations of the cognitive tools evolved to adapt to the own niche: from bacteria to multicellulars, animals, mammals, anthropoids, etc. Herein we will briefly survey some of those instances. In the human case, the essential niche becomes an extended social group with a rich diversity of cognitive links or ‘bonds’ in continuous interaction. Evolutionarily, the adaptation process to this social niche has involved a series of brain size increases, allowing, above all, the cognitive wonders inherent in language. But it has also involved a restructuring of the cognitive ‘shortcuts’ — essentially, emotions — that help individuals to navigate their own life in the natural environment and, especially, within the highly complex social milieu. Ultimately, this social adaptation process made possible the emergence of human ‘ultrasociality’ –the crux of Anthropogenesis-- and the most conspicuous behavioral traits still observable in contemporary societies, the effects of which also reverberate in the practice of science itself.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"251 ","pages":"Article 105454"},"PeriodicalIF":2.0000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0303264725000644","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

An evolutionary approach to human cognition and social complexity, acknowledging the essential role of social emotions, is attempted. From the start, every kind of cognition, either artificial or natural, is limited. In living beings, it is the life cycle, life course, or life history what determines the extension, intensity, and limitations of the cognitive tools evolved to adapt to the own niche: from bacteria to multicellulars, animals, mammals, anthropoids, etc. Herein we will briefly survey some of those instances. In the human case, the essential niche becomes an extended social group with a rich diversity of cognitive links or ‘bonds’ in continuous interaction. Evolutionarily, the adaptation process to this social niche has involved a series of brain size increases, allowing, above all, the cognitive wonders inherent in language. But it has also involved a restructuring of the cognitive ‘shortcuts’ — essentially, emotions — that help individuals to navigate their own life in the natural environment and, especially, within the highly complex social milieu. Ultimately, this social adaptation process made possible the emergence of human ‘ultrasociality’ –the crux of Anthropogenesis-- and the most conspicuous behavioral traits still observable in contemporary societies, the effects of which also reverberate in the practice of science itself.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信