Structuring Cellular Automata Rule Space with Attractor Basins
DM Burraston · UTS ePRESS (University of Technology Sydney) · 2005
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.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.A fresh insight into a recognised key problem, the structure of rule space, is presented based on empirical evidence.This provides a method for creating groups of rules with a broad range of behaviour for application Within generative arts practice and will also be of interest to scientific practitioners.