Adapting a Computational Multi Agent Model for Humpback Whale Song Research for use as a Tool for Algorithmic Composition

Authors

ER Miranda, School of Art, Design and Architecture
M McLoughlin
L Lamoni
E Garland
S Ingram, School of Biological and Marine Sciences
M Noad
L Rendell
A Kirke, School of Art, Design and Architecture

ORCID

• ER Miranda: 0000-0002-8306-9585
• S Ingram: 0000-0002-2959-1647
• A Kirke: 0000-0001-8783-6182

Publication Date

2016-08-31

Publication Title

Proceedings of the Sound and Music Computing Conference

Recommended Citation

Miranda, E., McLoughlin, M., Lamoni, L., Garland, E., Ingram, S., Noad, M., Rendell, L., & Kirke, A. (2016) 'Adapting a Computational Multi Agent Model for Humpback Whale Song Research for use as a Tool for Algorithmic Composition', Proceedings of the Sound and Music Computing Conference, . Retrieved from https://pearl.plymouth.ac.uk/ada-research/37