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Evolutionary Computer Music
The evolutionary computation approach to music is an exciting new development for composers and musicologists alike. For composers, it provides an innovative and natural means for generating musical ideas from a specifiable set of primitive components and processes. For musicologists, these techniqu...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2007.
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| Edición: | 1st ed. 2007. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
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| 001 | 978-1-84628-600-1 | ||
| 003 | DE-He213 | ||
| 005 | 20220116231844.0 | ||
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| 008 | 100301s2007 xxk| s |||| 0|eng d | ||
| 020 | |a 9781846286001 |9 978-1-84628-600-1 | ||
| 024 | 7 | |a 10.1007/978-1-84628-600-1 |2 doi | |
| 050 | 4 | |a QA76.575 | |
| 072 | 7 | |a UG |2 bicssc | |
| 072 | 7 | |a COM034000 |2 bisacsh | |
| 072 | 7 | |a UG |2 thema | |
| 082 | 0 | 4 | |a 006.7 |2 23 |
| 245 | 1 | 0 | |a Evolutionary Computer Music |h [electronic resource] / |c edited by Eduardo R. Miranda, John Al Biles. |
| 250 | |a 1st ed. 2007. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2007. | |
| 300 | |a XIV, 259 p. 97 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a An Introduction to Evolutionary Computing for Musicians -- Evolutionary Computation for Musical Tasks -- Evolution in Digital Audio Technology -- Evolution in Creative Sound Design -- Experiments in Generative Musical Performance with a Genetic Algorithm -- Composing with Genetic Algorithms: GenDash -- Improvizing with Genetic Algorithms: GenJam -- Cellular Automata Music: From Sound Synthesis to Musical Forms -- Swarming and Music -- Computational Evolutionary Musicology. | |
| 520 | |a The evolutionary computation approach to music is an exciting new development for composers and musicologists alike. For composers, it provides an innovative and natural means for generating musical ideas from a specifiable set of primitive components and processes. For musicologists, these techniques are used to model the cultural transmission and change of a population's body of musical ideas over time. In both cases, musical evolution can be guided by a variety of constraints and tendencies built into the system, such as realistic psychological factors that influence the way music is expressed, experienced, learned, stored, modified, and passed on among individuals. This book discusses not only the applications of evolutionary computation to music, but also the tools needed to create and study such systems. These tools are drawn in part from research into the origins and evolution of biological organisms, ecologies, and cultural systems on the one hand, and from computer simulation methodologies on the other. They can be combined to create surrogate artificial worlds populated by interacting simulated organisms in which complex musical experiments can be performed that would otherwise be impossible. This authoritative book, with contributions from experts from around the globe, demonstrates that evolutionary systems can be used to create and to study musical compositions and cultures in ways that have never before been achieved. Eduardo Reck Miranda is a Professor in Computer Music at the University of Plymouth, UK, where he heads the Interdisciplinary Centre for Computer Music Research (ICCMR). He has recently been appointed the Edgard Varèse Guest Professor of Computer Music at the Technical University of Berlin. Al Biles is a Professor and the Undergraduate Program Coordinator in the Department of Information Technology at the Rochester Institute of Technology in Rochester, New York. Between performances with GenJam over the last thirteen years, he has been active in helping establish information technology as a recognized academic discipline. | ||
| 650 | 0 | |a Multimedia systems. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Digital humanities. | |
| 650 | 0 | |a Music. | |
| 650 | 1 | 4 | |a Multimedia Information Systems. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Digital Humanities. |
| 650 | 2 | 4 | |a Music. |
| 700 | 1 | |a Miranda, Eduardo R. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Biles, John Al. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781848005716 |
| 776 | 0 | 8 | |i Printed edition: |z 9781846285998 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-84628-600-1 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||