Evolutionary Computer Music

1. Auflage 2007
ISBN: 978-1-84628-599-8
Verlag: Springer

Buch, Englisch, 259 Seiten, mit 1 CD-ROM, Format (B × H): 156 mm x 232 mm, Gewicht: 416 g

This book discusses the applications of evolutionary computation to music and the tools needed to create and study such systems. These tools can be combined to create surrogate artificial worlds populated by interacting simulated organisms in which complex musical experiments can be performed. The book demonstrates that evolutionary systems can be used to create and to study musical compositions and cultures in ways that have never before been achieved.

Zielgruppe

Research

Autoren/Hrsg.

Miranda, Eduardo R.

Biles, John Al

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften Evolutionsbiologie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Geisteswissenschaften Musikwissenschaft Musikwissenschaft Allgemein Musiktheorie, Musikästhetik, Kompositionslehre
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
• Geisteswissenschaften Musikwissenschaft Musikgattungen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

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.

Über Autor(innen)

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 has been applying evolutionary computation to music since 1993, when he built the first of many versions of GenJam, the Genetic Jammer. Since that time he and GenJam have performed around the world together, and Al has watched the field of evolutionary computer music emerge as a fascinating creative enterprise. Al is Professor and Undergraduate Program Coordinator in the Department of Information Technology at the Rochester Institute of Technology.