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Oxford Handbook of Algorithmic Music
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Featuring chapters by emerging and established scholars as well as by leading practitioners in the field, this Handbook both describes the state of algorithmic composition and also set the agenda for critical research on and analysis of algorithmic music.
Inhaltsverzeichnis
Contents
Section 1: Grounding algorithmic music
1. Musical Algorithms as Tools, Languages and Partners: A Perspective
Alex McLean, Roger T. Dean
2. Algorithmic Music and the Philosophy of Time
Julian Rohrhuber
3. Action and Perception: Embodying Algorithms and the Extended Mind
Palle Dahlstedt
4. Origins of Algorithmic Thinking in Music
Nick Collins
5. Algorithmic Thinking and Central Javanese Gamelan
Charles Matthews
Perspectives on Practice A
6. Thoughts on Composing with Algorithms
Laurie Spiegel
7. Mexico and India: Diversifying and Expanding the Live Coding Community
Alexandra Cardenas
8. Deautomatization of Breakfast Perceptions
Renate Wieser
9. Why Do We Want Our Computers to Improvise?
George Lewis
Section 2: What can algorithms in music do?
10. Compositions Created with Constraint Programming
Torsten Anders
11. Linking Sonic Aesthetics With Mathematical Theories
Andy Milne
12. Machine Learning and Listening in Composition and Performance
Rebecca Fiebrink and Baptiste Caramiaux
13. Biologically-Inspired and Agent-Based Algorithms for Music
Alice Eldridge and Oliver Bown
14. Performing with Patterns of Time
Thor Magnusson, University of Sussex, Alex McLean, FoAM Kernow
15. Computational Creativity and Live Algorithms
Geraint Wiggins and Jamie Forth
16. Tensions and Techniques in Live Coding Performance
Charlie Roberts and Graham Wakefield
Perspectives on Practice B
17. When Algorithms Meet Machines
Sarah Angliss
18. Notes on Pattern Synthesis
Mark Fell
19. Performing algorithms
Kristin Erickson
Section 3: Purposes of algorithms for the music maker
20. Network music and the algorithmic ensemble
David Ogborn
21. Sonification != music
Carla Scaletti
22. Color is the Keyboard: Transcoding from Visual to Sonic
it is undoubtedly an important didactic resource for students of algorithmic composition, including beginners, who want to get a wide and up-to-date overview of the various applications of algorithms in music scenarios. Alessandro Anatrini, Musicae Scientiae
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