On the Integration of Machine Agents into Live Coding.
Co-creation strategies for human–machine collaboration have recently been explored in various creative disciplines and more opportunities for human–machine collaborations are materialising. In this article, we outline how to augment musical live coding by considering how human live coders can effect...
| Publicado en: | Organised Sound Vol. 28; no. 2; pp. 305 - 315 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Cambridge University Press
Aug2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=173033651&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 173033651 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13557718 G0N jtl: Organised Sound issn: 13557718 maglogo: N pubinfo: dt: Aug2023 vid: 28 iid: 2 pid: 15979 pub: Cambridge University Press artinfo: ui: 173033651 10.1017/S1355771823000420 ppf: 305 ppct: 10 formats: tig: atl: On the Integration of Machine Agents into Live Coding. aug: au: Wilson, Elizabeth Fazekas, György Wiggins, Geraint affil: Centre for Digital Music, Queen Mary University, London, UK AI Lab, Vrije Universiteit Brussel, Brussels, Belgium su: Computer programming Machine learning Human-machine systems Computer music Artificial intelligence in music sug: subj: Computer programming Machine learning Human-machine systems Computer music Artificial intelligence in music ab: Co-creation strategies for human–machine collaboration have recently been explored in various creative disciplines and more opportunities for human–machine collaborations are materialising. In this article, we outline how to augment musical live coding by considering how human live coders can effectively collaborate with a machine agent imbued with the ability to produce its own patterns of executable code. Using machine agents allows live coders to explore not-yet conceptualised patterns of code and supports them in asking new questions. We argue that to move away from scenarios where machine agents are used in a merely generative way, or only as creative impetus for the human, and towards a more collaborative relationship with the machine agent, consideration is needed for system designers around the aspects of reflection, aesthetics and evaluation. Furthermore, owing to live coding's close relationship with exposing processes, using agents in such a way can be a useful manner to explore how to make artificial intelligence processes more open and explainable to an audience. Finally, some speculative futures of co-creative and artificially intelligent systems and what opportunities they might afford the live coder are discussed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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