Developing a data-driven multi-agent model for studying humpback whale song

Rendell, Luke (PI)

Project: Standard

Acronym	Leverhulme Trust
Status	Finished
Effective start/end date	1/04/14 → 31/03/17

Funding

Leverhulme Trust: £60,834.67

Global cultural evolutionary model of humpback whale song
Zandberg, L., Lachlan, R. F., Lamoni, L. U. & Garland, E. C., 25 Oct 2021, In: Philosophical Transactions of the Royal Society B: Biological Sciences. 376, 1836, 12 p., 20200242.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Adapting a computational multi agent model for humpback whale song research for use as a tool for algorithmic composition
Mcloughlin, M., Ingram, S., Rendell, L. E., Lamoni, L. U., Kirke, A., Garland, E. C., Noad, M. & Miranda, E., 31 Aug 2016, Proceedings SMC 2016. Großmann, R. & Hajdu, G. (eds.). Hochschule für Musik und Theater Hamburg, p. 274-280 (Proceedings of the SMC Conferences).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File

Global cultural evolutionary model of humpback whale song (dataset)
Garland, E. C. (Creator), GitHub, 2021
https://github.com/lzandberg/WhaleABC
Dataset