抄録
Why do humans make music? Theories of the evolution of musicality have focused mainly on the value of music for specific adaptive contexts such as mate selection, parental care, coalition signaling, and group cohesion. Synthesizing and extending previous proposals, we argue that social bonding is an overarching function that unifies all of these theories, and that musicality enabled social bonding at larger scales than grooming and other bonding mechanisms available in ancestral primate societies. We combine cross-disciplinary evidence from archeology, anthropology, biology, musicology, psychology, and neuroscience into a unified framework that accounts for the biological and cultural evolution of music. We argue that the evolution of musicality involves gene-culture coevolution, through which proto-musical behaviors that initially arose and spread as cultural inventions had feedback effects on biological evolution because of their impact on social bonding. We emphasize the deep links between production, perception, prediction, and social reward arising from repetition, synchronization, and harmonization of rhythms and pitches, and summarize empirical evidence for these links at the levels of brain networks, physiological mechanisms, and behaviors across cultures and across species. Finally, we address potential criticisms and make testable predictions for future research, including neurobiological bases of musicality and relationships between human music, language, animal song, and other domains. The music and social bonding hypothesis provides the most comprehensive theory to date of the biological and cultural evolution of music.
本文言語 | English |
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論文番号 | e59 |
ジャーナル | Behavioral and Brain Sciences |
巻 | 44 |
DOI | |
出版ステータス | Published - 2021 8月 20 |
ASJC Scopus subject areas
- 神経心理学および生理心理学
- 生理学
- 行動神経科学
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In: Behavioral and Brain Sciences, Vol. 44, e59, 20.08.2021.
研究成果: Article › 査読
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TY - JOUR
T1 - Music as a coevolved system for social bonding
AU - Savage, Patrick E.
AU - Loui, Psyche
AU - Tarr, Bronwyn
AU - Schachner, Adena
AU - Glowacki, Luke
AU - Mithen, Steven
AU - Fitch, W. Tecumseh
N1 - Funding Information: PATRICK SAVAGE is Associate Professor in the Faculty of Environment and Information Studies at Keio University in Japan, where he directs the CompMusic Lab for comparative and computational musicology. He holds a Ph.D. in Ethnomusicology from the Tokyo University of the Arts and an M.Sc. in Psychology, Neuroscience, and Behavior from McMaster University. Previously, he was a postdoc in the School of Anthropology and Museum Ethnography at the University of Oxford. His 2017 Ph.D. dissertation entitled “Measuring the cultural evolution of music” was awarded the Ikushi Prize from the Japanese Emperor, and he has won national competitions in Japanese folk song. Twitter: @PatrickESavage PSYCHE LOUI is Assistant Professor of Creativity and Creative Practice in the Department of Music at Northeastern University, where she directs the Music, Imaging, and Neural Dynamics (MIND) Lab, which studies the cognitive neuroscience of music. She holds a Ph.D. in Psychology from the University of California at Berkeley and a B.S. in Psychology and Music from Duke University, and completed her postdoctoral training in neurology at the Harvard Medical School. Loui has published over 70 peer-reviewed journal articles and book chapters on music and the brain. Her work has received media coverage by the New York Times, Boston Globe, BBC, Associated Press, and other news outlets. Twitter: @psycheloui BRONWYN TARR is Research Affiliate and Departmental Lecturer at the University of Oxford’s Institute of Cognitive and Evolutionary Anthropology (ICEA). She is interested in the evolution of social behaviors and the psychological and physiological effects of dance. She holds a B.Sc. in Evolutionary Biology and Biodiversity, a B.Sc. in Zoology and Animal Behavior (both from the University of Cape Town), an M.Sc. in Environmental Change and Management, and a D.Phil. (Ph.D.) in Experimental Psychology (both from the University of Oxford). She was a Postdoctoral Research Associate at the Social and Evolutionary Neuroscience Research Group (University of Oxford), a visiting Research Fellow at the Institute for Advanced Study Toulouse, and she is currently based in the Social Body Lab (ICEA). Twitter: @BronwynTarr1 ADENA SCHACHNER is Assistant Professor of Psychology at the University of California, San Diego, where she directs the Mind and Development Laboratory. She holds a Ph.D. in Psychology from Harvard University and a B.A. in Cognitive Science from Yale University, and completed postdoctoral training at Boston University. Her research explores how children and adults reason about the social world, with a focus on the cognitive bases for links between music and social cognition. Dr. Schachner has been recognized with the Rising Star Award from the APS, and funded by the NSF, NIH, and APF. Twitter: @adenaschachner LUKE GLOWACKI is a faculty member in the Department of Anthropology at Boston University, where he directs the Human Systems and Behavior Lab. He holds a Ph.D. in Human Evolutionary Biology from Harvard University and was previously a Research Fellow at the Institute for Advanced Study in Toulouse and faculty at Pennsylvania State University. Twitter: @HSB_Lab STEVEN MITHEN is Professor of Early Prehistory at the University of Reading, UK. Having studied at the universities of Sheffield, York, and Cambridge, his academic career at Reading since 1992 has involved managerial roles as Pro Vice Chancellor (International and Research) and Deputy Vice Chancellor. His teaching and research interests concern human evolution, hunter-gatherers, and the emergence of farming, with long-term field projects in southern Jordan and western Scotland. He was elected as a Fellow of the British Academy in 2003. Funding Information: “The origins of music in human society” held in December 2017 at the Abbaye de Royaumont, France, organized by Paul Seabright, Francis Maréchal, Marie-Hélène Cassar, and Juliette Lobry. We gratefully acknowledge funding for the workshop from the French Agence Nationale de la Recherche (under the Investissement d’Avenir program, ANR-17-EURE-0010). We thank the organizers, sponsors, and other invited participants (in addition to the seven of us, these were: Simha Arom, Kofi Asante, Jean-Julien Aucouturier, Greg Bryant, François Cam, Didier Demolin, Edward Hagen, Nori Jacoby, Martin Lang, Jacques Launay, Samuel Mehr, Marcel Peres, Benjamin Purzycki, Lauriane Rat-Fischer, Nick Rawlins, Sandra Trehub, Connor Wood, and the Ensemble Organum) for this stimulating interdisciplinary workshop and discussion leading to this article and a separate article by Mehr, Bryant, Hagen, and Max Krasnow. We thank Greg Bryant, Shinya Fujii, Eva Jablonka, Nori Jacoby, Kimberly Kobayashi-Johnson, Samuel Mehr, Bjorn Merker, Aniruddh Patel, Peter Pfordresher, Manvir Singh, Dor Shilton, Parker Tichko, Sandra Trehub, the students of Keio University’s CompMusic and NeuroMusic Labs, and of Oxford University’s Institute of Cognitive and Evolutionary Anthropology, and four anonymous reviewers for comments on earlier versions of this manuscript. Funding Information: Financial support. PES was supported by Grant-in-Aid no. 19KK0064 from the Japan Society for the Promotion of Science and startup grants from Keio University (Keio Global Research Institute, Keio Research Institute at SFC, and Keio Gijuku Academic Development Fund). PL was supported by the National Science Foundation NSF-STTR no. 1720698 NSF-CAREER #1945436, NSF-STTR #2014870, the Grammy Foundation and startup funds from Northeastern University. BT was supported by funding from the French Agence Nationale de la Recherche (under the Investissement d’Avenir program, ANR-17-EURE-0010) while on a Visiting Fellowship at the Institute of Advanced Study Toulouse. AS was supported by the National Science Foundation under NSF-BCS no. 1749551. WTF was supported by Austrian Science Fund (FWF) DK Grant “Cognition & Communication” (W1262-B29). Funding Information: Financial support. The “Origins of music in non-state societies” meeting was supported by the Agence Nationale de la Recherche (Investissements d’Avenir ANR-17-EURE-0010). S.A.M. is supported by the Harvard Data Science Initiative and the National Institutes of Health Director’s Early Independence Award DP5OD024566. Funding Information: Financial support. This research was funded by the Missouri S&T Center for Biomedical Research. Funding Information: Financial support. This study was funded by grants from the Social Sciences and Humanities Research Council of Canada (SSHRC) and the Natural Sciences and Engineering Research Council of Canada (NSERC). Funding Information: Financial support. Mohamad El Haj was supported by LABEX (excellence laboratory, program investment for the future) DISTALZ (Development of Innovative Strategies for a Transdisciplinary approach to Alzheimer’s disease). Funding Information: Acknowledgments. A.-K.R.B. receives funding from the German Research Foundation (DFG: MA 8554/1-1). A.Z. receives funding from European Commission H2020 Marie Skodowska-Curie Fellowship JAL-843722. Funding Information: Financial support. NCH received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement (No. 754513), The Aarhus University Research Foundation, Carlsberg Foundation (CF18-0668), and Lundbeck Foundation (R266-2017-3339). Funding Information: Financial support. Madeleine Seale was funded by a Leverhulme Early Career Research fellowship. Funding Information: Financial support. This study was funded by Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B) 20H04490. Funding Information: Financial support. This study is funded by National Science Foundation, Award Number 1734025. Funding Information: Financial support. This research was funded in part by NSF grant BCS-1848930. Funding Information: Financial support. TP was supported by the “Music and Language in the Human Brain” research-cluster grant from the Medical University of Vienna and the University of Vienna. Funding Information: Financial support. Andrea Ravignani is supported by the Max Planck Society via an Independent Research Group Leader position. Funding Information: Financial support. ECG is supported by a Royal Society University Research Fellowship (UF160081), AS is supported by a St Leonard’s Interdisciplinary Scholarship from the University of St Andrews and Royal Conservatoire of Scotland. Funding Information: Financial support. This study was supported in part by grants GRF14611615 and GRF15601718 awarded by the Research Grant Council of Hong Kong. Funding Information: Financial support. This study was supported by Die Junge Akademie of the German National Academy of Sciences. Funding Information: Financial support. DLB is supported by NIMH grant K01-MH122730-01; JCD is supported by Royal Society grant RSG/R1/180340. Funding Information: Financial support. This study is supported by FrontCog ANR-17-EURE-0017. Funding Information: Financial support. This study was supported by MEXT/JSPS Grant-in-Aid for Scientific Research on Innovative Areas #4903 (Evolinguistics) [grant number JP17H06379] and the Spanish Ministry of Science and Innovation [grant number PID2019-107042GB-I00]. Funding Information: Financial support. This study was supported in part by the National Institute of Mental Health (NIMH), National Center for Complementary and Integrative Health (NCCIH) [R61MH123029], National Institute on Deafness and Other Communication Disorders (NIDCD) [R21DC016710], the National Institutes of Health Office of the Director (DP2HD098859), National Endowment for the Arts Research Lab (1863278-38), and the National Science Foundation (NSF) [1926794] and NSF GRFP. The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Funding Information: Financial support. This study was supported by a European Research Council Consolidator Grant (project no. 682253) awarded to ANR. Funding Information: Financial support. C.B.’s research was supported in part by a grant from the John Templeton Foundation (Grant ID 60811). Funding Information: Financial support. This study received support from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 746652 and from the Spanish Ministry of Science, Innovation and Universities under the Ramón y Cajal grant agreement no. RYC2018-025456-I. Funding Information: Financial support. This research was supported by a grant from the Natural Sciences and Engineering Research Council of Canada (228175-10). Funding Information: Financial support. Center for Music in the Brain is funded by the Danish National Research Foundation (DNRF117). Funding Information: Financial support. TSP was financially supported by the European Research Council, under the European Union’s Seventh Framework Programme (FP7/ 2007-2013)/ERC grant agreement no. 609819 (Somics project). AT was supported by European Research Council grant agreement no. 616072, JAXPERTISE. HM was financially supported by a Complexity Postdoctoral Fellowship at the Santa Fe Institute. Funding Information: Financial support. This study was supported by the NSF (NC & KS, grant number BCS-1918824); and Vanderbilt University (KS & NC). Funding Information: Financial support. S.S. gratefully acknowledge support from the Hungarian National Research, Development and Innovation Office NKFIH (grant number K 132250). S.S. was supported by the European Structural Investment Funds (ESIF) in Hungary (GINOP) 2.3.2-15-2016-00057. Funding Information: Financial support. This study was supported by the National Science Foundation (KAB, NSF-GRFP DGE-142487.1). Funding Information: Financial support. This commentary was supported by grants from the Canadian Institutes of Health Research (MOP 153130), the Natural Sciences and Engineering Research Council of Canada (RGPIN-2019-05416), the Social Science and Humanities Research Council (435-2020-0442), and the Canadian Institute for Advanced Research. Funding Information: Financial support. C.T. received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement (No. 835682). S.F. received funding from Swiss National Science Foundation (Grants Nos. SNSF PP00P1_157409/1 and PP00P1_183711/1). Funding Information: Financial support. This study was enabled by the John Templeton Foundation (Grant no. 61157). Funding Information: Financial support. PES was supported by Grant-in-Aid no. 19KK0064 from the Japan Society for the Promotion of Science and startup grants from Keio University (Keio Global Research Institute, Keio Research Institute at SFC, and Keio Gijuku Academic Development Fund). PL was supported by the National Science Foundation NSF-STTR no. 1720698, NSF-CAREER no. 1945436, NSF-STTR no. 2014870, the Grammy Foundation, and startup funds from Northeastern University. BT was supported by funding from the French Agence Nationale de la Recherche (under the Investissement d’Avenir program, ANR-17-EURE-0010) while on a Visiting Fellowship at the Institute of Advanced Study Toulouse. AS was supported by the National Science Foundation under NSF-BCS no. 1749551. WTF was supported by Austrian Science Fund (FWF) DK Grant “Cognition & Communication” (W1262-B29). Funding Information: Financial support. S.A.M. is supported by the Harvard Data Science Initiative and the National Institutes of Health Director’s Early Independence Award DP5OD024566. Publisher Copyright: Copyright © The Author(s), 2020. Published by Cambridge University Press.
PY - 2021/8/20
Y1 - 2021/8/20
N2 - Why do humans make music? Theories of the evolution of musicality have focused mainly on the value of music for specific adaptive contexts such as mate selection, parental care, coalition signaling, and group cohesion. Synthesizing and extending previous proposals, we argue that social bonding is an overarching function that unifies all of these theories, and that musicality enabled social bonding at larger scales than grooming and other bonding mechanisms available in ancestral primate societies. We combine cross-disciplinary evidence from archeology, anthropology, biology, musicology, psychology, and neuroscience into a unified framework that accounts for the biological and cultural evolution of music. We argue that the evolution of musicality involves gene-culture coevolution, through which proto-musical behaviors that initially arose and spread as cultural inventions had feedback effects on biological evolution because of their impact on social bonding. We emphasize the deep links between production, perception, prediction, and social reward arising from repetition, synchronization, and harmonization of rhythms and pitches, and summarize empirical evidence for these links at the levels of brain networks, physiological mechanisms, and behaviors across cultures and across species. Finally, we address potential criticisms and make testable predictions for future research, including neurobiological bases of musicality and relationships between human music, language, animal song, and other domains. The music and social bonding hypothesis provides the most comprehensive theory to date of the biological and cultural evolution of music.
AB - Why do humans make music? Theories of the evolution of musicality have focused mainly on the value of music for specific adaptive contexts such as mate selection, parental care, coalition signaling, and group cohesion. Synthesizing and extending previous proposals, we argue that social bonding is an overarching function that unifies all of these theories, and that musicality enabled social bonding at larger scales than grooming and other bonding mechanisms available in ancestral primate societies. We combine cross-disciplinary evidence from archeology, anthropology, biology, musicology, psychology, and neuroscience into a unified framework that accounts for the biological and cultural evolution of music. We argue that the evolution of musicality involves gene-culture coevolution, through which proto-musical behaviors that initially arose and spread as cultural inventions had feedback effects on biological evolution because of their impact on social bonding. We emphasize the deep links between production, perception, prediction, and social reward arising from repetition, synchronization, and harmonization of rhythms and pitches, and summarize empirical evidence for these links at the levels of brain networks, physiological mechanisms, and behaviors across cultures and across species. Finally, we address potential criticisms and make testable predictions for future research, including neurobiological bases of musicality and relationships between human music, language, animal song, and other domains. The music and social bonding hypothesis provides the most comprehensive theory to date of the biological and cultural evolution of music.
KW - comparative
KW - cooperation
KW - cultural evolution
KW - harmony
KW - language
KW - music
KW - prediction
KW - reward
KW - synchrony
KW - vocal learning
UR - http://www.scopus.com/inward/record.url?scp=85092355520&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092355520&partnerID=8YFLogxK
U2 - 10.1017/S0140525X20000333
DO - 10.1017/S0140525X20000333
M3 - Article
C2 - 32814608
AN - SCOPUS:85092355520
SN - 0140-525X
VL - 44
JO - Behavioral and Brain Sciences
JF - Behavioral and Brain Sciences
M1 - e59
ER -