Creative Computing and the Generative Artist

dc.contributor.authorBattey, B.en
dc.date.accessioned2016-02-16T15:09:47Z
dc.date.available2016-02-16T15:09:47Z
dc.date.issued2016-05-22
dc.description.abstractThis article addresses the research agenda of creative computing from the perspective of a generative artist/composer, someone for whom processes of software creation and art creation inseparably intertwine. Using his audiovisual composition Clonal Colonies (2011) as a case study, the author addresses the dynamic of generative artistic creation when it is a process of discovery and dialog with artist-created, often unpredictable software systems. He provides technical specifics regarding his use of his variable-coupled map networks approach for music and his Brownian Doughnut Warper visual algorithm. Finally, he proposes a set of principles applicable to the creation of generative artwork, considers how tools and systems could better support such work, and proposes that creative computing research also focus on helping creatives surmount the fundamental personal challenges encountered in creative work of all types.en
dc.funderNot applicableen
dc.identifier.citationBattey, B. (2016) Creative Computing and the Generative Artist. International Journal of Creative Computing, 1 (2/3/4)en
dc.identifier.doihttps://doi.org/10.1504/ijcrc.2016.076065
dc.identifier.issn2043-8354
dc.identifier.issn2043-8346
dc.identifier.urihttp://hdl.handle.net/2086/11516
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidNot applicableen
dc.publisherInderscienceen
dc.researchgroupMusic, Technology and Innovation Research Centreen
dc.researchinstituteMusic, Technology and Innovation - Institute for Sonic Creativity (MTI2)en
dc.subjectcreative computingen
dc.subjectgenerative arten
dc.subjectgenerative musicen
dc.subjectalgorithmic arten
dc.subjectaudiovisual arten
dc.subjectvisual musicen
dc.subjectcreative processesen
dc.subjectiterated mapsen
dc.subjectcomplex systemsen
dc.subjectemergent behaviouren
dc.titleCreative Computing and the Generative Artisten
dc.typeArticleen

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