Book Chapter10.1007/978-3-319-31008-4_13
Evolving L-Systems with Musical Notes
Ana Rodrigues,Ernesto Costa,Amílcar Cardoso,Penousal Machado,Tiago Cruz +4 more
- 30 Mar 2016
- pp 186-201
10
TL;DR: A new method for the algorithmic generations of images that are the result of a visual interpretation of an L- system, based on a multi-agent simulation environment, and the results of some experiments that provide support to the approach.
read more
Abstract: Over the years researchers have been interested in devising computational approaches for music and image generation. Some of the approaches rely on generative rewriting systems like L-systems. More recently, some authors questioned the interplay of music and images, that is, how we can use one type to drive the other. In this paper we present a new method for the algorithmic generations of images that are the result of a visual interpretation of an L-system. The main novelty of our approach is based on the fact that the L-system itself is the result of an evolutionary process guided by musical elements. Musical notes are decomposed into elements --- pitch, duration and volume in the current implementation --- and each of them is mapped into corresponding parameters of the L-system --- currently line length, width, color and turning angle. We describe the architecture of our system, based on a multi-agent simulation environment, and show the results of some experiments that provide support to our approach.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Generative Theatre of Totality
TL;DR: A model for the creation of generative performances within the Theatre of Totality’s scope is proposed, derived from stochastic Lindenmayer systems, where mapping techniques are proposed to address the seven variables addressed by Moholy-Nagy.
8
Using formal grammars as musical genome
TL;DR: This paper explores a generative music method that can compose atonal and tonal music in different styles and assess the outcome of a particular music specification (guitar ballad) in a controlled real-world setup, which endorses the approach to tackle arts algorithmically, as it is able to produce novel content that complies with human expectations.
4
Synesthetic Musical Composition using Computational Intelligence
TL;DR: The use of evolutionary algorithms as a novel auxiliary model for musical innovation and the existing tools of intelligent computation for musical composition and creation of computational art are shown.
1
Security and Ethical Concerns of Affective Algorithmic Music Composition in Smart Spaces
Abigail Wiafe,Pasi Fränti +1 more
- 01 Jan 2020
TL;DR: This chapter presents issues such as impersonation, eavesdropping, data tempering, malicious codes, and denial-of-service attacks associated with affective algorithmic composition systems and some ethical implications relating to intensions, harm, and possible conflicts that users of such systems may experience.
Creation of Melodic and Rhythmic Patterns Based on Cultural Heritage
Afsaneh Yadaei,Mohammad Reza Azadehfar,Behnam Alizadehashrafi +2 more
TL;DR: In this paper , a 3D game environment is used to teach the traditional dance and music of the Azeri people to their descendants using a set of rules that are applied to compose varied but cohesive music, informed by traditional musical stylistic features.
References
•Book
Genetic Algorithms
David E. Goldberg,William Shakespeare +1 more
- 01 Jan 2002
TL;DR: The present work expresses the problem as a multi-objective optimization problem and a methodology has been proposed based on multi-objective genetic algo-rithm (MOGA) that exploits the effectiveness of MOGA for searching global optimal solutions in selecting an appropriate image enhancement operator.
17.1K
On genetic algorithms
Eric B. Baum,Dan Boneh,Charles Garrett +2 more
- 05 Jul 1995
TL;DR: C Culling is near optimal for this problem, highly noise tolerant, and the best known a~~roach in some regimes, and some new large deviation bounds on this submartingale enable us to determine the running time of the algorithm.
6K
Introduction to Evolutionary Computing
Agoston E. Eiben,James C. Smith +1 more
- 01 Jan 2015
TL;DR: In the second edition, the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations as discussed by the authors.
5.2K
•Book
The Algorithmic Beauty of Plants
Przemyslaw Prusinkiewicz,Aristid Lindenmayer +1 more
- 01 Jan 1990
TL;DR: Graphical modeling using L-systems and turtle interpretation of symbols for plant models and iterated function systems, and Fractal properties of plants.
Genetic Algorithms
David E. Goldberg,William Shakespeare +1 more
TL;DR: Genetic algorithms are typically implemented as a computer simulation in which a population of abstract representations of candidate solutions to an optimization problem evolves toward better solutions.
2.4K