Skip to main navigation Skip to search Skip to main content

Composing music with bio-technology: an intelligent algorithmic composition system using Physarum polycephalum-based memristors

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Computer-assisted and automated composition systems often harness Artificial Intelligence models such as Markov chains, Neural Networks, and Genetic Algorithms to generate musical material. The field of Unconventional Computing (UC) explores non-digital ways of data storage, processing, input, and output. UC paradigms such as Biocomputing and Quantum Computing delve into domains beyond the binary bit to handle complex nonlinear functions. In this chapter, we explore harnessing the biological computing substrate Physarum polycephalum as a memristor to process and generate musical material within an algorithmic composition system. It details the journey and process of creating a piece of popular music using this novel technology, which we originally showcased at the New Interfaces for Musical Expression (NIME) conference in 2020. In this piece, entitled Creep into my Lawn, the Physarum polycephalum-based memristors act as creative collaborators in the composition process. Our work aims to demonstrate the potential of UC paradigms in creative applications and to disseminate this technology to non-experts and musicians so that they can incorporate it into their creative processes.
Original languageEnglish
Title of host publicationUnconventional Computing, Arts, Philosophy
EditorsAndrew Adamatzky
PublisherWorld Scientific Publishing Co., Inc.
Chapter35
Pages535-555
Volume2
ISBN (Electronic)9789811257162
ISBN (Print)9789811257148
DOIs
Publication statusPublished - 1 Oct 2022

Publication series

NameWSPC Book Series in Unconventional Computing

Keywords

  • Music
  • music composition
  • Biotechnology

Fingerprint

Dive into the research topics of 'Composing music with bio-technology: an intelligent algorithmic composition system using Physarum polycephalum-based memristors'. Together they form a unique fingerprint.

Cite this