Experimental evolution is the study of evolutionary processes occurring in experimental
populations in response to conditions imposed by the experimenter. This research approach …

Natural computing is a terminology introduced to encompass three classes of methods:(1)
those that take inspiration from nature for the development of novel problem-solving …

Through multi-agent competition, the simple objective of hide-and-seek, and standard
reinforcement learning algorithms at scale, we find that agents create a self-supervised …

Evolution provides a creative fount of complex and subtle adaptations that often surprise the
scientists who discover them. However, the creativity of evolution is not limited to the natural …

This book is based on proceedings from a February 2004 Santa Fe Institute workshop. Its
contributing chapter authors treat the ecology of predator-prey interactions and food web …

We describe the content and outcomes of the First Workshop on Open-Ended Evolution:
Recent Progress and Future Milestones (OEE1), held during the ECAL 2015 conference at …

In contrast to the conventional role of evolution in evolutionary computation (EC) as an
optimization algorithm, a new class of evolutionary algorithms has emerged in recent years …

Understanding how genotypes map onto phenotypes, fitness, and eventually organisms is
arguably the next major missing piece in a fully predictive theory of evolution. We refer to this …

Bacterial quorum sensing (QS) refers to the process of cell-to-cell bacterial communication
enabled through the production and sensing of the local concentration of small molecules …

The evolution of complex organismal traits is obvious as a historical fact, but the underlying
causes—including the role of natural selection—are contested. Gould argued that a random …