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Toward a productive evolutionary understanding of music

Published online by Cambridge University Press:  30 September 2021

Samuel A. Mehr Open the ORCID record for Samuel A. Mehr [Opens in a new window] ,
Max M. Krasnow ,
Gregory A. Bryant  and
Edward H. Hagen
Samuel A. Mehr
Affiliation:
Department of Psychology, Harvard University, Cambridge, MA02138, USAsam@wjh.harvard.edu, https://mehr.czkrasnow@fas.harvard.edu, https://projects.iq.harvard.edu/epl Data Science Initiative, Harvard University, Cambridge, MA02138 School of Psychology, Victoria University of Wellington, Wellington6012, New Zealand
Max M. Krasnow
Affiliation:
Department of Psychology, Harvard University, Cambridge, MA02138, USAsam@wjh.harvard.edu, https://mehr.czkrasnow@fas.harvard.edu, https://projects.iq.harvard.edu/epl
Gregory A. Bryant
Affiliation:
Department of Communication, University of California Los Angeles, Los Angeles, CA90095, USAgabryant@ucla.edu, http://gabryant.bol.ucla.edu Center for Behavior, Evolution, and Culture, University of California Los Angeles, Los Angeles, CA90095, USA
Edward H. Hagen
Affiliation:
Department of Anthropology, Washington State University, Vancouver, WA98686, USA. edhagen@wsu.edu, https://anthro.vancouver.wsu.edu/people/hagen
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Abstract

We discuss approaches to the study of the evolution of music (sect. R1); challenges to each of the two theories of the origins of music presented in the companion target articles (sect. R2); future directions for testing them (sect. R3); and priorities for better understanding the nature of music (sect. R4).

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Behavioral and Brain Sciences , Volume 44 , 2021 , e122
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Copyright © The Author(s), 2021. Published by Cambridge University Press

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Footnotes

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All authors contributed to this response and are listed in reverse order of seniority.

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