Abstract
Michael Mcloughlin, Luca Lamoni, Ellen C. Garland, Simon Ingram, Alexis Kirke, Michael J. Noad, Luke Rendell and Eduardo Miranda (2018) Using agent-based models to understand the role of individuals in the song evolution of humpback whales (Megaptera novaeangliae). Music & Science 1(1): 1–17. doi: 10.1177/2059204318757021
While processing this paper in production, correct acknowledgement and funding statements were inadvertently not included. The correct statements read as given below:
Footnotes
Acknowledgement
Authors would like to thank Jennifer Coxon and Oliver Leedham for assistance with song transcription. Song recordings from eastern Australia were made during the HARC project, and we thank everyone involved.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: MM and LL were supported by a Leverhulme Trust Grant to LR, AK, SI and EM (grant reference RPG-2013-367). EG was supported by a Royal Society Newton International Fellowship. LR was supported by the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland) and their support is gratefully acknowledged. MASTS is funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions. Song recording was funded by the U.S. Office of Naval Research, the Australian Defence Science and Technology Organisation and the Tangalooma Marine Education and Research Foundation.
The article has been updated with the correct acknowledgement and funding statements.