DIGITAL AUDIO VISUAL PROJECTS 

CELLULAR AUTOMATA MUSIC (2002)Various musicians and artists have used mathematical models for artistic means. Typically a set of mappings is defined which transform the numerical outputs of sets of equations or computer simulation into parameters in visual or sonic space. This is usually motivated by an aesthetic appreciation of the dynamics of the model and an implicit assumption that these formal structures can be appreciated in perceptual space. Visualisation is integral to Alife research and many models can be naturally represented in two or three dimensional space over time, but it is less obvious that the same dynamics can be succesfully conveyed in sound. The aim of this project was to test whether this assumption holds.
Cellular automata have been used extensively in algorithmic composition.
One of the simplest CA models, which is used here, is a 1D model where each cell takes on a binary value. The system is usually visualised by plotting the state of each successive iteration as horizontal lines, one below the other.
Rule sets can be categorised mathematically (according to a measure of entropy variance in the look up table (Wuenshce)) into one of three classes: ordered, complex or chaotic.
 
I developed mappings which defined rhythmic and harmonic variation according to individual cell states and entropy variance for 1 dimensional CA rules. 

Results
Listeners were required to classify each sequence as either chaotic, ordered, or complex, using either audio only, visual, or audiovisual displays.
 
