Swarm Music Album Black Allegheny

Swarm Music Album Black Allegheny from Evan Merz on Vimeo.

"In this video, I explain my new album, Black Allegheny. The album was created using algorithmic composition software that utilizes swarm intelligence. In this video, I explain how this music differs from traditionally composed music.

To listen to the album or buy it, go to evanxmerz.bandcamp.com/

For more about the composer, see computermusicblog.com/blog/evan-x-merz/"

This reminds me of Audio Damage's Automation.

Swarm Controlled Sampler - Becoming Live from Evan Merz on Vimeo.

"Becoming is an algorithmic composition program written in java, that builds upon some of John Cage’s frequently employed compositional processes. Cage often used the idea of a “gamut” in his compositions. A gamut could be a collection of musical fragments, or a collection of sounds, or a collection of instruments. Often, he would arrange the gamut visually on a graph, then use that graph to piece together the final output of a piece. Early in his career, he often used a set of rules or equations to determine how the output would relate to the graph. Around 1949, during the composition of the piano concerto, he began using chance to decide how music would be assembled from the graph and gamut.

In Becoming, I directly borrow Cage’s gamut and graph concepts; however, the software assembles music using concepts from the AI subfield of swarm intelligence. I place a number of agents on the graph and, rather than dictating their motions from a top-down rule-based approach, the music grows in a bottom-up fashion based on local decisions made by each agent. Each agent has preferences that determine their movement around the graph. These values dictate how likely the agent is to move toward food, how likely the agent is to move toward the swarm, and how likely the performer is to avoid the predator.

Buy the album: evanxmerz.bandcamp.com/

More: computermusicblog.com/blog/evan-x-merz/"

via Califaudio