The road to everywhere : Evolution, complexity and progress in natural and artificial systems

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Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “In this endeavor, the evolutionary computation community, and particularly the ﬁeld that studies neuroevo-lution, is extending research efforts to include open-ended evolutionary environments in which many tasks and behaviors might be required (Miconi, 2008).”
Identifying Necessary Conditions for Open-Ended Evolution through the Artificial Life World of Chromaria (2014, background): “While a variety of alife worlds have been implemented and studied, critics describe them as “lacking” in methodology and theory (Miconi, 2008).”