Creativity - Technology - Learning
 
Tactical Temporalities

Tactical Temporalities

Tactical Temporalities is a semi-improvised live coding music performance set within the framework of an Algorave, an event that blends algorithmically generated music with an energetic, dance-driven atmosphere. The performance explores my application of generative algorithms, rooted in classical music composition principles, to contemporary electronic dance music. The central research question is: How can traditional music composition principles inform and enhance the creation of generative music in electronic dance contexts?

The performance integrates my newly developed and published algorithms, which are informed by computational music theory and insights from music perception. These algorithms foster a dynamic interaction between a human performer and semi-autonomous computational systems. By combining generative techniques with live performance, Tactical Temporalities explores how computational systems can respond to a performer’s input in real-time while maintaining musical coherence and aligning with the rhythmic demands of electronic dance music.

Tactical Temporalities was selected through an international peer-review process for inclusion in the xCoAx 2014 conference in Porto, Portugal, known for its focus on interdisciplinary art and technology research. This selection highlights the work’s contribution to generative music practice. Additionally, it demonstrates my creative application of the algorithmic processes published in the Computer Music Journal (Vol 39:1), marking the work as a significant development in the intersection of algorithmic composition and electronic dance music.

Brown, Andrew R. 2014. “Tactical Temporalities: A Live Coding Performance.” In Proceedings of the Second Conference on Computation Communication Aesthetics and X, edited by Miguel Carvalhais and Mario Verdicchio, 449–52. Porto, Portugal: Universidade do Porto.

Brown, Andrew R., Toby Gifford, and Robert Davidson. 2015. “Techniques for Generative Melodies Inspired by Music Cognition.” Computer Music Journal 39 (1): 11–26.