Computational Musicology: An Artificial Life Approach. Coutinho, E., Gimenes, M., Martins, J., M., & Miranda, E., R. In 2005 Portuguese Conference on Artificial Intelligence, pages 85-93, 12, 2007. APPIA; DIUBI; CISUC; Microsoft Res; FCT; Camara Municipal Coviha; Parkurbis; IMB-Hoteis; Caixa Geral Depositos; AUTO JARDIM Automoveis S A; TAP Air Portugal; SEMMAIS Programac Design Interact; OmniSys Tecnol Informacao Lda; Regisfund Maquinas Escritor Lda.
Website doi abstract bibtex Artificial Life (A-Life) and Evolutionary Algorithms (EA) provide a variety of new techniques for making and studying music. EA have been used in different musical applications, ranging from new systems for composition and performance, to models for studying musical evolution in artificial societies. This paper starts with a brief introduction to three main fields of application of EA in Music, namely sound design, creativity and computational musicology. Then it presents our work in the field of computational musicology. Computational musicology is broadly defined as the study of Music with computational modelling and simulation. We are interested in developing ALifebased models to study the evolution of musical cognition in an artificial society of agents. In this paper we present the main components of a model that we are developing to study the evolution of musical ontogenies, focusing on the evolution of rhythms and emotional systems. The paper concludes by suggesting that A-Life and EA provide a powerful paradigm for computational musicology.
@inproceedings{
title = {Computational Musicology: An Artificial Life Approach},
type = {inproceedings},
year = {2007},
pages = {85-93},
websites = {http://ieeexplore.ieee.org/document/4145929/},
month = {12},
publisher = {APPIA; DIUBI; CISUC; Microsoft Res; FCT; Camara Municipal Coviha; Parkurbis; IMB-Hoteis; Caixa Geral Depositos; AUTO JARDIM Automoveis S A; TAP Air Portugal; SEMMAIS Programac Design Interact; OmniSys Tecnol Informacao Lda; Regisfund Maquinas Escritor Lda},
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last_modified = {2021-06-17T15:16:17.710Z},
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notes = {<b>From Duplicate 1 (<i>Computational Musicology: An Artificial Life Approach</i> - Coutinho, Eduardo; Gimenes, Marcelo; Martins, Joao M.; Miranda, Eduardo R.)<br/></b><br/>Portuguese Conference on Artificial Intelligence, Univ Beira Interior, Covilha, PORTUGAL, 2005<br/><br/><b>From Duplicate 2 (<i>Computational Musicology: An Artificial Life Approach</i> - Coutinho, Eduardo; Gimenes, Marcelo; Martins, Joao M.; Miranda, Eduardo R.)<br/></b><br/><b>From Duplicate 2 (<i>Computational Musicology: An Artificial Life Approach</i> - Coutinho, Eduardo; Gimenes, Marcelo; Martins, Joao M.; Miranda, Eduardo R.)<br/></b><br/>Portuguese Conference on Artificial Intelligence, Univ Beira Interior, Covilha, PORTUGAL, 2005},
folder_uuids = {aac08d0d-38e7-4f4e-a381-5271c5c099ce},
private_publication = {false},
abstract = {Artificial Life (A-Life) and Evolutionary Algorithms (EA) provide a variety of new techniques for making and studying music. EA have been used in different musical applications, ranging from new systems for composition and performance, to models for studying musical evolution in artificial societies. This paper starts with a brief introduction to three main fields of application of EA in Music, namely sound design, creativity and computational musicology. Then it presents our work in the field of computational musicology. Computational musicology is broadly defined as the study of Music with computational modelling and simulation. We are interested in developing ALifebased models to study the evolution of musical cognition in an artificial society of agents. In this paper we present the main components of a model that we are developing to study the evolution of musical ontogenies, focusing on the evolution of rhythms and emotional systems. The paper concludes by suggesting that A-Life and EA provide a powerful paradigm for computational musicology.},
bibtype = {inproceedings},
author = {Coutinho, Eduardo and Gimenes, Marcelo and Martins, Joao M. and Miranda, Eduardo R.},
editor = {Bento A and Dias, G, C and Cardoso},
doi = {10.1109/epia.2005.341270},
booktitle = {2005 Portuguese Conference on Artificial Intelligence},
keywords = {article,conference}
}
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