Evolutionary Computer Music

  • Eduardo Reck Miranda
  • John Al Biles

Table of contents

  1. Front Matter
    Pages I-XIV
  2. PHIL HUSBANDS, PETER COPLEY, ALICE ELDRIDGE, JAMES MANDELIS
    Pages 1-27
  3. JOHN A. BILES
    Pages 28-51
  4. ANDREW HORNER
    Pages 52-78
  5. PALLE DAHLSTEDT
    Pages 79-99
  6. QIJUN ZHANG, EDUARDO R. MIRANDA
    Pages 100-116
  7. RODNEY WASCHKA II
    Pages 117-136
  8. JOHN A. BILES
    Pages 137-169
  9. TIM BLACKWELL
    Pages 194-217
  10. EDUARDO R. MIRANDA, PETER M. TODD
    Pages 218-249
  11. Back Matter
    Pages 250-259

About this book

Introduction

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.

Keywords

Audio algorithms automata cognition composing computer computer simulation development evolution evolutionary biology evolutionary computation genetic algorithms neural networks performance simulation

Editors and affiliations

  • Eduardo Reck Miranda
    • 1
  • John Al Biles
    • 2
  1. 1.Interdisciplinary Centre for Computer Music Research (ICCMR)University of PlymouthUK
  2. 2.Information Technology DepartmentRochester Institute of TechnologyRochesterUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84628-600-1
  • Copyright Information Springer 2007
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84628-599-8
  • Online ISBN 978-1-84628-600-1
  • About this book