EvoMove: Evolutionary-based living musical companion

Peignier, Sergio; Abernot, Jonas; Rigotti, Christophe; Beslon, Guillaume

doi:10.7551/ecal_a_057

“…Then, in order both to address naive users and to test the software in short training sessions, we decided to design a musical personal companion: a system that would be able to evolve music depending on the performance of a dancer and that would evolve in real time while the performance is ongoing. This resulted in the EvoMove System [25].…”

Section: Proof Of Concept: Evolving a Living Personal Companionmentioning

confidence: 99%

Evolving Living Technologies—Insights from the EvoEvo Project

Beslon

¹

,

Elena

²

,

Hogeweg

³

et al. 2018

Search-Based Software Engineering

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The EvoEvo project was a 2013-2017 FP7 European project aiming at developing new evolutionary approaches in information science and producing novel algorithms based on the current understanding of molecular and evolutionary biology, with the ultimate goals of addressing open-ended problems in which the specifications are either unknown or too complicated to express, and of producing software able to operate even in unpredictable, varying conditions. Here we present the main rationals of the EvoEvo project and propose a set of design rules to evolve adaptive software systems.

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“…In these approaches the control changes are infrequent and irregular with respect to the simulation time step, and the user does not interact directly with individual agents. Other work using agents in real-time performance includes EvoMove [22][23][24][25][26][27], which applies a commensal computing scheme to provide a movement-based musical companion for dancers, with sounds conceived as ambient feedback rather than presenting a musical structure.…”

Section: In and Out Of A Musical Paradigmmentioning

confidence: 99%

Advances in Computer Entertainment Technology

2018

Lecture Notes in Computer Science

8

0

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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.

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Structured Reciprocity for Musical Performance with Swarm Agents as a Generative Mechanism

Choi

¹

2018

Advances in Computer Entertainment Technology

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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.

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EvoMove: Evolutionary-based living musical companion

Cited by 3 publications

References 17 publications

Evolving Living Technologies—Insights from the EvoEvo Project

Evolving Living Technologies—Insights from the EvoEvo Project

Advances in Computer Entertainment Technology

Structured Reciprocity for Musical Performance with Swarm Agents as a Generative Mechanism

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