Cellular

CELLULAR AUTOMATA:
EVALUATING THE EDGE OF CHAOS

 

Time // 2014

 

University // AA DRL

 

Location // London, United Kingdom

 

Type // Self-organizing and Self-assembly System

 

Size // varies

 

Tutor // Theodore Spyropoulos

 

Team // Dmytro Aranchii, Paul Bart, Yuqiu Jiang, Flavia Santos

 

Visualization // Marvin Bratke

In-Depth Research of cellular automata, developing algorithmic strategies of generation and evaluation and control of complex growth systems.

 


 

λ LAMBDA collects results of research going deeply into digital workflows and computational systems of cellular automata, dealing with simple, rule based logics of growth and geometry generation and both observation and parameter based evaluation.
Aim of the study was to develop algorithmic strategies of control for complex self-organizing systems through minimal input or rules.
Through prediction, observation and numerical evaluation of total system behaviour and geometrical output the system independently adapts its input parameters (rules of growth or initial generation) and modifies the geometric structure based on its statistical data and given design goals (stable structure reduction, combining in clusters , etc.).