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Algorithmic Composition : Paradigms of Automated Music Generation / by Gerhard Nierhaus
版 | 1st ed. 2009. |
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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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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783211755402 |
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電子リソース |
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EB00226312 |
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