Autopia: An AI Collaborator for Gamified Live Coding Music Performances

Created by W.Langdon from gp-bibliography.bib Revision:1.9240

@InProceedings{Lorway:2019:AISB,

• author = "Norah Lorway and Matthew Jarvis and Arthur Wilson and Edward J. Powley and John Speakman",
• title = "Autopia: An {AI} Collaborator for Gamified Live Coding Music Performances",
• booktitle = "AISB 2019, Society for the Study of Artificial Intelligence and Simulation of Behaviour Convention",
• year = "2019",
• address = "Falmouth University, UK",
• keywords = "genetic algorithms, genetic programming",
• URL = "https://repository.falmouth.ac.uk/3326/",
• URL = "https://repository.falmouth.ac.uk/3326/1/AISB2019_Live_Coding_Game.pdf",
• URL = "https://edpowley.com/academic/papers/AISB2019_Live_Coding_Game.pdf",
• size = "4 pages",
• abstract = "Live coding is the activity of writing (parts of) a program while it runs [20]. One significant application of live coding is in algorithmic music, where the performer modifies the code generating the music in a live context. Utopia 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.",
• notes = "[20] Adrian Ward, Julian Rohrhuber, Fredrik Olofsson, Alex Mclean, Dave Griffiths, Nick Collins, and Amy Alexander, 'Live algorithm programming and a temporary organisation for its promotion', in read me, Software Art and Cultures, eds., Olga Goriunova and Alexei Shulgin, (2004).",

}

Genetic Programming entries for Norah Lorway Matthew Jarvis Arthur Wilson Edward Powley John Speakman

Citations