Autopia: An AI Collaborator for Gamified Live Coding Music Performances

Lorway, Norah, Jarvis, Matthew, Wilson, Arthur, Powley, Edward 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.

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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: Computer Science, Information & General Works
Music > Digital Music
Courses by Department: Academy of Music & Theatre Arts > Music
Depositing User: Norah Lorway
Date Deposited: 28 Jun 2019 11:39
Last Modified: 28 Jun 2019 11:39
URI: http://repository.falmouth.ac.uk/id/eprint/3326

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