Algorithmic Composition: Paradigms of Automated Music Generation

Author:   Gerhard Nierhaus
Publisher:   Springer Verlag GmbH
Edition:   2009 ed.
ISBN:  

9783211755396


Pages:   287
Publication Date:   05 November 2008
Format:   Hardback
Availability:   Awaiting stock   Availability explained
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Algorithmic Composition: Paradigms of Automated Music Generation


Overview

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.

Full Product Details

Author:   Gerhard Nierhaus
Publisher:   Springer Verlag GmbH
Imprint:   Springer Verlag GmbH
Edition:   2009 ed.
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.617kg
ISBN:  

9783211755396


ISBN 10:   321175539
Pages:   287
Publication Date:   05 November 2008
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

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.

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