Algorithmic Composition

Paradigms of Automated Music Generation
1. Auflage. Softcover version of original hardcover Auflage 2009
ISBN: 978-3-211-99915-8
Verlag: Springer-Verlag KG

Buch, Englisch, 287 Seiten, Previously published in hardcover, Format (B × H): 154 mm x 236 mm, Gewicht: 460 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Nierhaus, Gerhard

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Digitale Musik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen
• Mathematik | Informatik EDV | Informatik Informatik Tonsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker

Inhaltsverzeichnis

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.