NOISA: Network of Intelligent Sonic Agents

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NOISA : Network of Intelligent Sonic Agents. Tahiroğlu, Koray (Author). 2019. Linz : Event: Ars Electronica Festival, PostCity, Linz, Austria.

Research output: Artistic and non-textual formExhibitionSolo art productionpeer-review

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@misc{535626dbe9f443b196e81dc82362a24c,
title = "NOISA: Network of Intelligent Sonic Agents",
abstract = "NOISA, the Network of Intelligent Sonic Agents, is an interactive music system that monitors the performer’s actions and provides autonomous and non-intrusive counteractions. In this co-creative music performance, intelligent sonic agents are designed to support the music performance by providing responses that encourage and maintain the communication and motivation of the performer with the NOISA system. The sonic agent is an entity in each NOISA instrument that learns relationships between sonic agents, performer and musicscape. Each sonic agent has a machine-learning model for predicting and adapting its behavior during the performance. Regression algorithms, which use a tree model to derive the predicted parameter value from decisions and branches, lead to predictable and representative behavior based on the learning data. The NOISA project elevates people’s creative thinking, engages them in investigation, and contributes in positive ways to the co-created arts with machine learning and AI.",
keywords = "artificial intelligence, Music technology, digital musical interactions",
author = "Koray Tahiroğlu",
year = "2019",
month = "9",
day = "6",
language = "English",

}

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TY - ADVS

T1 - NOISA

T2 - Network of Intelligent Sonic Agents

AU - Tahiroğlu, Koray

PY - 2019/9/6

Y1 - 2019/9/6

N2 - NOISA, the Network of Intelligent Sonic Agents, is an interactive music system that monitors the performer’s actions and provides autonomous and non-intrusive counteractions. In this co-creative music performance, intelligent sonic agents are designed to support the music performance by providing responses that encourage and maintain the communication and motivation of the performer with the NOISA system. The sonic agent is an entity in each NOISA instrument that learns relationships between sonic agents, performer and musicscape. Each sonic agent has a machine-learning model for predicting and adapting its behavior during the performance. Regression algorithms, which use a tree model to derive the predicted parameter value from decisions and branches, lead to predictable and representative behavior based on the learning data. The NOISA project elevates people’s creative thinking, engages them in investigation, and contributes in positive ways to the co-created arts with machine learning and AI.

AB - NOISA, the Network of Intelligent Sonic Agents, is an interactive music system that monitors the performer’s actions and provides autonomous and non-intrusive counteractions. In this co-creative music performance, intelligent sonic agents are designed to support the music performance by providing responses that encourage and maintain the communication and motivation of the performer with the NOISA system. The sonic agent is an entity in each NOISA instrument that learns relationships between sonic agents, performer and musicscape. Each sonic agent has a machine-learning model for predicting and adapting its behavior during the performance. Regression algorithms, which use a tree model to derive the predicted parameter value from decisions and branches, lead to predictable and representative behavior based on the learning data. The NOISA project elevates people’s creative thinking, engages them in investigation, and contributes in positive ways to the co-created arts with machine learning and AI.

KW - artificial intelligence

KW - Music technology

KW - digital musical interactions

UR - https://ars.electronica.art/outofthebox/en/noisa/

M3 - Exhibition

CY - Linz

ER -

ID: 39436849