The evolution of human music in light of increased prosocial behavior: a new model

IF 13.7 1区 生物学 Q1 BIOLOGY
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Abstract

Together with language, music is perhaps our most distinctive behavioral trait. Following the lead of evolutionary linguistic research, different hypotheses have been proposed to explain why only humans perform music and how this ability might have evolved in the species. In this paper, we advance a new model of music evolution that builds on the theory of self-domestication, according to which the human phenotype is, at least in part, the outcome of a process similar to mammal domestication, triggered by a progressive reduction in reactive aggression levels in response to environmental changes. In the paper, we specifically argue that changes in aggression management through the course of human cultural evolution can account for the behaviors conducive to the emergence and evolution of music. We hypothesize 4 stages in the evolutionary development of music under the influence of environmental changes and evolution of social organization: starting from musilanguage, 1) proto-music gave rise to 2) personal and private forms of timbre-oriented music, then to 3) small-group ensembles of pitch-oriented music, at first of indefinite and then definite pitch, and finally to 4) collective (tonal) music. These stages parallel what has been hypothesized for languages and encompass the diversity of music types and genres described worldwide. Overall, music complexity emerges in a gradual fashion under the effects of enhanced abilities for cultural niche construction, resulting from the stable trend of reduction in reactive aggression towards the end of the Pleistocene, leading to the rise of hospitality codes, and succeeded by the increase in proactive aggression from the beginning of the Holocene onward. This paper addresses numerous controversies in the literature on the evolution of music by providing a clear structural definition of music, identifying its structural features that distinguish it from oral language, and summarizing the typology of operational functions of music and formats of its transmission. The proposed framework of structural approach to music arms a researcher with means to identify and comparatively analyze different schemes of tonal organization of music, placing them in the context of human social and cultural evolution. Especially valuable is the theory of so-called “personal song”, described and analyzed here from ethological, social, cultural, cognitive, and musicological perspectives. Personal song seems to constitute a remnant of the proto-musical transition from animal communication to human music as we know it today. We interlink the emergence of personal song with the evolution of kinship, placing both of them on the timeline of cultural evolution - based on totality of ethnographic, archaeological, anthropological, genetic, and paleoclimatic data.
从亲社会行为的增加看人类音乐的进化:一个新模型
与语言一样,音乐也许是人类最独特的行为特征。在语言进化研究的引领下,人们提出了不同的假设来解释为什么只有人类会演奏音乐,以及这种能力是如何在人类中进化出来的。在本文中,我们以自我驯化理论为基础,提出了一个新的音乐进化模型。根据该模型,人类的表型至少部分是一个类似于哺乳动物驯化过程的结果,其触发因素是随着环境变化而逐渐降低的反应性攻击水平。在本文中,我们具体论证了人类文化进化过程中攻击管理的变化可以解释有利于音乐出现和进化的行为。我们假设在环境变化和社会组织进化的影响下,音乐的进化发展分为四个阶段:从音乐语言开始,原生音乐产生了个人和私人形式的音色导向型音乐,然后是小群体合奏的音高导向型音乐,最初是不确定的音高,然后是确定的音高,最后是集体(音调)音乐。这些阶段与语言的假设相似,并涵盖了世界范围内音乐类型和流派的多样性。总体而言,音乐的复杂性是在文化生态位构建能力增强的影响下逐步出现的,这种能力的增强源于更新世末期被动攻击性减少的稳定趋势,这种趋势导致了好客代码的兴起,而从全新世开始,主动攻击性的增加又接踵而至。本文通过明确音乐的结构定义,指出音乐区别于口头语言的结构特征,总结音乐的运作功能类型及其传播形式,从而解决了音乐演变文献中的诸多争议。所提出的音乐结构方法框架为研究人员提供了识别和比较分析不同音乐调性组织方案的手段,并将它们置于人类社会和文化演变的背景中。所谓的 "个人歌曲 "理论对理解从动物交流到人类音乐和语言的过渡尤其有价值,本文从伦理学、社会学、文化学、认知学和音乐学的角度对其进行了描述和分析。根据人种学、考古学、人类学、遗传学和古气候学的全部数据,个人歌曲的出现及其发展成为一种社会制度与亲属关系的演变相互关联,并被纳入文化演变的时间轴。
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来源期刊
Physics of Life Reviews
Physics of Life Reviews 生物-生物物理
CiteScore
20.30
自引率
14.50%
发文量
52
审稿时长
8 days
期刊介绍: Physics of Life Reviews, published quarterly, is an international journal dedicated to review articles on the physics of living systems, complex phenomena in biological systems, and related fields including artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. Serving as a unifying force across disciplines, the journal explores living systems comprehensively—from molecules to populations, genetics to mind, and artificial systems modeling these phenomena. Inviting reviews from actively engaged researchers, the journal seeks broad, critical, and accessible contributions that address recent progress and sometimes controversial accounts in the field.
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