Simulating Biological Complexity through Artificial Evolution

In this paper, we use a bio-inspired robotic simulation framework that mimics the nested architecture of the biological evolutionary process to study biological complexity. Through simulating interactions between different components at different levels, this framework mimics the hierarchical complexity that we observe in biological evolution. Furthermore, by analyzing the results of simulation experiments, this study suggests a possible model to explain how evolutionary systems reduce the deleterious impact of the "costs of complexity".