Created 2014:

For own final assessment in Digital Media Software and Systems 4 in 2013, we were required to build a music performance system in Max MSP that illustrates the algorithmic processes covered in this course. We had to perform with this system in a live context, in groups of five people. Each one of use would focus on different algorithmic processes within our patch. The video below is just a demonstration of my part. Others focused on drums samples, vocoders, synth etc. and we would then play together simultaneously. The algorithmic processes which we studied for this involved:

• random, drunk, and urn
• weighted distribution
• Markov chain
• fractal or self-similar process
• Logistics Map
• other chaotic process (Hénon, etc.)

The patch demonstrated below features Markov Chain and random, drunk, and urn. Our aim as a group was to manipulate the stochastic behaviour of the algorithms in such a way that is was still pleasing i.e. or notes were random but only within specific scales in order to sound pleasing.

Demonstration:

(I will be rerecording a demo of this with internal recording to omit the noise interference,)