Abstract:
Complex systems such as Cellular Automata (CA) produce global behaviour based on the interactions of
simple units (cells). Their evolution is specified by local interaction rules that generate some form of
ordered, complex or chaotic behaviour patterns. This wide variety of behaviour represents an important
generative tool for the artist. Chaotic behaviour dominates rule space, which has serious implications for the
serendipitous use of these systems in artistic endeavour. CA are fascinating objects, producing more pattern
than a single human is capable of observing within their own lifetime. Obtaining a variety of pattern for free
is thus a challenge to the artist and scientist alike. A fresh insight into measuring behaviour and sampling
rule space is presented based on empirical evidence. Insights gained from earlier generative music
experiments suggest Ashby's cybernetic quantity of variety as a new way of measuring behaviour. A simple
and effective method for creating groups of rules with a broad range of behaviour is demonstrated.
Isomorphism between automata and music composition technology is shown to exist in terms of basic
modular components. This connection provides a fundamental link between the fields and a familiar point of
reference for both artist and scientist.
