Using agent-based models to understand the role of individuals in the song evolution of humpback whales ( Megaptera novaeangliae )

Authors

Luke Rendell, University of St Andrews
Michael Mcloughlin
Luca Lamoni, University of St Andrews
Ellen C. Garland, University of St Andrews
Simon Ingram, School of Biological and Marine Sciences
Alexis Kirke, School of Art, Design and Architecture
Michael J. Noad, University of Queensland
Eduardo Miranda, School of Art, Design and Architecture

ORCID

• Simon Ingram: 0000-0002-2959-1647
• Alexis Kirke: 0000-0001-8783-6182
• Eduardo Miranda: 0000-0002-8306-9585

DOI Link

10.1177/2059204318757021

DOI

10.1177/2059204318757021

Publication Date

2018-01-01

Publication Title

Music & Science

Volume

1

ISSN

2059-2043

Recommended Citation

Rendell, L., Mcloughlin, M., Lamoni, L., Garland, E., Ingram, S., Kirke, A., Noad, M., & Miranda, E. (2018) 'Using agent-based models to understand the role of individuals in the song evolution of humpback whales ( Megaptera novaeangliae )', Music & Science, 1. Available at: 10.1177/2059204318757021