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Algorithmic Composition : Paradigms of Automated Music Generation / by Gerhard Nierhaus

1st ed. 2009.
出版者 (Vienna : Springer Vienna : Imprint: Springer)
出版年 2009
本文言語 英語
大きさ X, 287 p. With 20 tables : online resource
著者標目 *Nierhaus, Gerhard author
SpringerLink (Online service)
件 名 LCSH:Mathematics
LCSH:Music
LCSH:Algorithms
LCSH:Digital humanities
LCSH:Mathematics -- Data processing  全ての件名で検索
FREE:Applications of Mathematics
FREE:Mathematics
FREE:Music
FREE:Algorithms
FREE:Digital Humanities
FREE:Computational Mathematics and Numerical Analysis
一般注記 Historical Development of Algorithmic Procedures -- Markov Models -- Generative Grammars -- Transition Networks -- Chaos and Self-Similarity -- Genetic Algorithms -- Cellular Automata -- Artificial Neural Networks -- Artificial Intelligence -- Final Synopsis
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
HTTP:URL=https://doi.org/10.1007/978-3-211-75540-2
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Springer eBooks 9783211755402
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EB00226312

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データ種別 電子ブック
分 類 LCC:T57-57.97
DC23:519
書誌ID 4000118290
ISBN 9783211755402

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