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.
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Bilotta et al. (2011) studied this question.
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