Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2008-05-12
Nonlinear Sciences
Adaptation and Self-Organizing Systems
3 pages, corrected typos added
Scientific paper
This paper is placed at the intersection-point between the study of theoretical computational models aimed at capturing the essence of genetic regulatory networks and the field of Artificial Embryology (or Computational Development). A model is proposed, with the objective of providing an effective way to generate arbitrary forms by using evolutionary-developmental techniques. Preliminary experiments have been performed.
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