Embodied copying for richer evolution

We address the process of copying in Artificial Life organisms. Copying is a source of mutations, a crucial component in evolution. We propose that rich copying mechanisms, and thereby rich evolutionary systems, can be obtained by embodying the copying process in a lower-level simulation. We demonstrate an embodied copying process that has the potential to alter its own mutation rate, without having the concept of a mutation rate parameter explicit in the system.