Short works

Books : reviews

Eduardo Reck Miranda, ed.
Guide to Unconventional Computing for Music.
Springer. 2017

This pioneering text/reference explores how innovative new modes of computation may provide exciting new directions for future developments in the music industry, guiding the reader through the latest research in this emerging, interdisciplinary field. This work includes coverage of electronic music compositions and performances that incorporate unconventional interfacing, hacking and circuit bending.

Topics and features:
• Presents an introduction to the broader field of unconventional computing, and to the application of unconventional computing in music composition and performances
• Discusses initiatives involving biophysical electronic music, the work of self-styled silicon luthiers, and the intersection of music and quantum computing
• Introduces the memristor, a new electronic component with the potential to revolutionize how computers are built in the future
• Reviews experiments and practical applications of biological memristors in music
• Describes IMUSIC, an unconventional tone-based programming language, which enables the programming of computers using musical phrases
• Includes review questions at the end of each chapter


Susan Stepney. Introduction to Unconventional Computing. 2017
Eduardo Reck Miranda, Alexis Kirke, Edward Braund, Aurélien Antoine. On Unconventional Computing for Sound and Music. 2017
Marco Donnarumma. On Biophysical Music. 2017
Ezra Teboul. The Transgressive Practices of Silicon Luthiers. 2017
Alexis Kirke, Eduardo Reck Miranda. Experiments in Sound and Music Quantum Computing. 2017
Martin A. Trefzer. Memristor in a Nutshell. 2017
Ella Gale, Oliver Matthews, Jeff Jones, Richard Mayne, Georgios Sirakoulis, Andrew Adamatzky. Physarum Inspired Audio: From Oscillatory Sonification to Memristor Music. 2017
Edward Braund, Eduardo Reck Miranda. An Approach to Building Musical Bioprocessors with Physarum polycephalum Memristors. 2017
Alexis Kirke. Toward a Musical Programming Language. 2017