ARTIFICIAL MICRO-WORLDS PART I: A NEW APPROACH FOR STUDYING LIFE-LIKE PHENOMENA
Eleonora Bilotta, Pietro Pantano, Stefano Vena · International Journal of Bifurcation and Chaos · 2011
In this paper, we present the k-totalistic class of Cellular Automata (CA), which we generate from evolutionary processes, giving rise to Artificial Micro-Worlds (AMW). Within these micro-worlds, we observe a huge range of self-replicators and an equally huge range of models of self-replicating structures that behave like biological species. On the basis of empirical observations, we propose a new way for studying artificial life-like phenomena through which we can apply methods similar to those used in Zoology, observing and classifying different species and investigating their population dynamics.