Autopia: An AI Collaborator for Gamified Live Coding Music Performances

Lorway, Norah ORCID: https://orcid.org/0000-0001-8179-6255, Jarvis, Matthew, Wilson, Arthur, Powley, Edward ORCID: https://orcid.org/0000-0002-7317-7304 and Speakman, John (2019) Autopia: An AI Collaborator for Gamified Live Coding Music Performances. In: Society for the Study of Artificial Intelligence and Simulation of Behaviour Convention, Falmouth University.

Preview

Text AISB2019_Live_Coding_Game.pdf - Published Version Available under License Creative Commons Attribution Non-commercial. Download (156kB) | Preview

Abstract / Summary

Live coding is “the activity of writing (parts of) a program while it runs”. One significant application of live coding is in algorithmic music, where the performer modifies the code generating the music in a live context. Utopia3 is a software tool for collaborative live coding performances, allowing several performers (each with their own laptop producing its own sound) to communicate and share code during a performance. We propose an AI bot, Autopia, which can participate in such performances, communicating with human performers through Utopia. This form of human-AI collaboration allows us to explore the implications of computational creativity from the perspective of live coding.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Computing & Data Science Performing Arts > Music & Sound
Courses by Department:	Academy of Music & Theatre Arts
Related URLs:	http://aisb2019.falmouthgamesacademy.com...
Depositing User:	Norah Lorway
Date Deposited:	28 Jun 2019 11:39
Last Modified:	15 Nov 2024 15:58
URI:	https://repository.falmouth.ac.uk/id/eprint/3326

View Record (staff only)