Algorithmic Composition

Paradigms of Automated Music Generation

Authors: Nierhaus, Gerhard

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eBook $59.99
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About this book

Algorithmic composition – composing by means of formalizable methods – has a century old tradition not only in occidental music history. This is the first book to provide a detailed overview of prominent procedures of algorithmic composition in a pragmatic way rather than by treating formalizable aspects in single works. In addition to an historic overview, each chapter presents a specific class of algorithm in a compositional context by providing a general introduction to its development and theoretical basis and describes different musical applications. Each chapter outlines the strengths, weaknesses and possible aesthetical implications resulting from the application of the treated approaches. Topics covered are: markov models, generative grammars, transition networks, chaos and self-similarity, genetic algorithms, cellular automata, neural networks and artificial intelligence are covered. The comprehensive bibliography makes this work ideal for the musician and the researcher alike.

Table of contents (11 chapters)

Buy this book

eBook $59.99
price for USA (gross)
  • ISBN 978-3-211-75540-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $79.99
price for USA
  • ISBN 978-3-211-75539-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $79.99
price for USA
  • ISBN 978-3-211-99915-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Algorithmic Composition
Book Subtitle
Paradigms of Automated Music Generation
Authors
Copyright
2009
Publisher
Springer-Verlag Wien
Copyright Holder
Springer-Verlag Vienna
eBook ISBN
978-3-211-75540-2
DOI
10.1007/978-3-211-75540-2
Hardcover ISBN
978-3-211-75539-6
Softcover ISBN
978-3-211-99915-8
Edition Number
1
Number of Pages
X, 287
Topics