Generative Art

Festival of Electronic Art and Subcultures Helsinki 29 March-1 April

by Marius Watz

Fragments on Generative Art

by Marius Watz

Vague Terrain 03 - vagueterrain.net, June 2006

Loose thoughts and tangential fragments commenting on the current state of generative art, my own work and some of the... more Loose thoughts and tangential fragments commenting on the current state of generative art, my own work and some of the artistic principles involved.

Closed systems: Generative art and Software Abstraction

by Marius Watz

Rethinking the Dissension Between Software and Generative Art

by Pauline de Souza

The International Journal of Technology, Knowledge and Society.

Towards an intelligent rhythmic generator based on given examples: a memetic approach

by Prof Eduardo R. Miranda

An aesthetic comparison of rule-based and genetic algorithms for generating melodies

by Andrew Brown

Various algorithmic techniques are available for generating music, many of which come from the field of artificial... more Various algorithmic techniques are available for generating music, many of which come from the field of artificial intelligence, which is rich with potential in this regard. However, the musical appropriateness of these techniques is less clearly understood. In this paper, I will report on a study that aimed to describe the characteristics of two of these techniques, rule-based and genetic algorithms, as they apply to melody generation. The appropriateness of these characteristics in contributing to well-formed melodies was judged by aesthetic criteria. The results indicate that most combinations of rules, mutations and evolutionary selection result in poor or average melodies, but that careful combination of these techniques can generate melodies that are not simply well-formed but in many cases display some elegance and novelty.

Note sequence morphing algorithms for performance of electronic dance music

by Andrew Brown

with Dr. Rene Wooller

This paper describes algorithms that can musically augment the realtime performance of electronic dance music by... more This paper describes algorithms that can musically augment the realtime performance of electronic dance music by generating new musical material by morphing. Note sequence morphing involves the algorithmic generation of music that smoothly transitions between two existing musical segments. The potential of musical morphing in electronic dance music is outlined and previous research is summarised; including discussions of relevant music theoretic and algorithmic concepts. An outline and explanation is provided of a novel Markov morphing process that uses similarity measures to construct transition matrices. The paper reports on a “focus-concert” study used to evaluate this morphing algorithm and to compare its output with performances from a professional DJ. Discussions of this trial include reflections on some of the aesthetic characteristics of note sequence morphing. The research suggests that the proposed morphing technique could be effectively used in some electronic
dance music contexts