Swarm Intelligence and Bio-Inspired Computation: 10. Intelligent Music Composition

Swarm Intelligence and Bio-Inspired Computation: 10. Intelligent Music Composition
ISBN-10
0128068965
ISBN-13
9780128068960
Series
Swarm Intelligence and Bio-Inspired Computation
Category
Computers
Pages
450
Language
English
Published
2013-05-16
Publisher
Elsevier Inc. Chapters
Authors
Michael N. Vrahatis, Maximos A. Kaliakatsos-Papakostas, Andreas Floros

Description

Automatic music composition has blossomed with the introduction of intelligent methodologies in computer science. Thereby, many methodologies for automatic music composition have been or could be described as “intelligent,” but what exactly is it that makes them intelligent? Furthermore, is there any categorization of intelligent music composition (IMC) methodologies that is both consistent and descriptive? This chapter aims to provide some insights on what IMC methodologies are, through proposing and analyzing a detailed categorization of them. Toward this perspective, methodologies that incorporate bioinspired intelligent algorithms (such as cellular automata, L-systems, genetic algorithms, swarm intelligence, among others) as well as their combinations are considered and briefly reviewed. At the same time, a consistent categorization of these methodologies is proposed, taking into account the utilization of their intelligent algorithm in accordance to their overall compositional aims. To this end, three main categories can be defined: the “unsupervised,” the “supervised,” and the “interactive” IMC methodologies.

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