Algorithmic Composition: Paradigms of Automated Music Generation

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Springer Science & Business Media, Aug 28, 2009 - Mathematics - 287 pages

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.

 

Contents

Introduction
1
Historical Development of Algorithmic Procedures
7
Markov Models
67
Generative Grammars
83
Transition Networks
121
Chaos and SelfSimilarity
131
Genetic Algorithms
157
Cellular Automata
187
Artificial Neural Networks
205
Artificial Intelligence
225
Final Synopsis
259
Index
275
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