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.
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