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Structured reciprocity for musical performance with swarm agents as a generative mechanism

Choi, I

Structured reciprocity for musical performance with swarm agents as a generative mechanism Thumbnail


Authors

I Choi



Contributors

AD Cheok
Editor

M Inami
Editor

T Romão
Editor

Abstract

A creative inquiry introduces a swarm simulation as a generative mechanism,
providing a third agency in music creation alongside agency of composition
and performance. When applying an evolutionary model such as swarms to
music the challenge is to develop a performance interaction model beyond improvised
explorations so that the model can facilitate the integrities for, and
emerging dynamics in, all agencies. To minimize a performer’s cognitive overload
another challenge is management of dataflow in interactive architecture for
generating music. An interaction model for structured reciprocity is investigated
as a design solution that applies model-based indirection. In the scope of musical
composition, reciprocity is exhibited as a time dependent relationship between a
performer’s actions and evolutionary swarm tendencies applied to generate musical
outcomes. Reciprocity is structured using levels of indirection as a construct
of mapping data from a swarm simulation to an interactive music performance
application. The paper presents an approach to encoding, activating, generating
and measuring reciprocity. A comparative case study demonstrates the implementation
of these concepts in two musical works. The paper concludes 1) reciprocity
in interactive applications helps optimize actions to leverage emergent tendencies,
including their intuitive qualities, towards realizing desired outcomes; and
2) data analysis from the case study indicates temporal signatures of reciprocity
are related to indirection in interaction scenarios for generative musical performance.

Citation

Choi, I. (2017, December). Structured reciprocity for musical performance with swarm agents as a generative mechanism. Presented at 14th International Conference on Advances in Computer Entertainment Technology, ACE 2017, The Shard, London, UK

Presentation Conference Type Other
Conference Name 14th International Conference on Advances in Computer Entertainment Technology, ACE 2017
Conference Location The Shard, London, UK
Start Date Dec 14, 2017
End Date Dec 16, 2017
Acceptance Date Sep 21, 2017
Online Publication Date Feb 21, 2018
Publication Date Feb 21, 2018
Deposit Date Nov 14, 2017
Publicly Available Date Nov 21, 2019
Series Title Lecture Notes in Computer Science
Series Number 10714
Book Title Advances in Computer Entertainment Technology 14th International Conference, ACE 2017, London, UK, December 14-16, 2017, Proceedings
ISBN 9783319762692-(print);-9783319762708-(online)
DOI https://doi.org/10.1007/978-3-319-76270-8
Publisher URL https://doi.org/10.1007/978-3-319-76270-8_48
Related Public URLs http://ace2017.info/
https://doi.org/10.1007/978-3-319-76270-8
Additional Information Event Type : Conference

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