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

Choi, I

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