Selective Retention: Interfacing the Past through Queries and Graphs

‘Selective Retention: Composing through Queries and Graphs’ reflects on composing through software systems while focusing on reinterpreting musical materials through computational methods. The exposition examines two projects that utilise software tools as temporal portals, merging algorithms with composition to create new musical contexts. It highlights the evolving relationship between these tools and their source materials, emphasising a process of iterative approaches and adaptation. The text also explores the emergent nature of creative intention and the importance of addressing local details in sound and coded data. Within the exposition, software applications are exposed, the ideas behind them are discussed, and examples of music composed with them are presented.<style>/* rules to make button only show up in META */.download-accessible { display:none;}.meta-right-col .download-accessible { display: inline-block; padding: 9px; margin-bottom:25px; border: 1px solid black; background-color:white;}</style><a class="download-accessible" href="/profile/download-media?work=3955500&file=3955523" title="This accessible PDF is a derivative of the original which it is meant to support and not replace.">Download Accessible PDF</a></span> keywords: Computer Music, Generative Algorithms, Sound Analysis, Data-Driven Sound, Algorithmic Composition, Network Models in Music., Artistic reserach

Authors

Publication Details

Journal
Journal for Artistic Research
Published
2025-10-28
DOI
https://doi.org/10.22501/jar.2938321
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Selective Retention: Interfacing the Past through Queries and Graphs

Bjarni Gunnarsson
Journal for Artistic Research
Music Technology and Sound Studies
article

Selective Retention: Interfacing the Past through Queries and Graphs

Bjarni Gunnarsson
article en

Abstract

‘Selective Retention: Composing through Queries and Graphs’ reflects on composing through software systems while focusing on reinterpreting musical materials through computational methods. The exposition examines two projects that utilise software tools as temporal portals, merging algorithms with composition to create new musical contexts. It highlights the evolving relationship between these tools and their source materials, emphasising a process of iterative approaches and adaptation. The text also explores the emergent nature of creative intention and the importance of addressing local details in sound and coded data. Within the exposition, software applications are exposed, the ideas behind them are discussed, and examples of music composed with them are presented.<style>/* rules to make button only show up in META */.download-accessible { display:none;}.meta-right-col .download-accessible { display: inline-block; padding: 9px; margin-bottom:25px; border: 1px solid black; background-color:white;}</style><a class="download-accessible" href="/profile/download-media?work=3955500&file=3955523" title="This accessible PDF is a derivative of the original which it is meant to support and not replace.">Download Accessible PDF</a></span> keywords: Computer Music, Generative Algorithms, Sound Analysis, Data-Driven Sound, Algorithmic Composition, Network Models in Music., Artistic reserach

Journal for Artistic Research(36)
Openalex Percentile: Top 69%
Music Technology and Sound Studies
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Selective Retention: Interfacing the Past through Queries and Graphs — Bjarni Gunnarsson · Journal for Artistic Research (2025) | TGRS Research Map | TGRS