Algorithmic composition : paradigms of automated music generation

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 aspect...

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Detaylı Bibliyografya
Yazar: Nierhaus, Gerhard
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Vienna : Springer Vienna [20..].
Cham : Springer Nature
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Not: Description d'après consultation du 26 mars 2012
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Edition sous un autre format:• Algorithmic composition, paradigms of automated music generation, Gerhard Nierhaus, Wien, Springer, 2009, 1 vol. (x, 287 p.), 3-211-75539-X
Diğer Bilgiler
Özet: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
Diğer Bilgileri:Description d'après consultation du 26 mars 2012
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliyografya:Bibliogr. Index
ISBN:9783211755402
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017