Evolutionary robotics applies the selection, variation, and heredity principles of natural
evolution to the design of robots with embodied intelligence. It can be considered as a …

In digital evolution, populations of computational organisms evolve via the same principles
that govern natural selection in nature. These platforms have been used to great effect as a …

While chromosomal rearrangements are ubiquitous in all domains of life, very little is known
about their evolutionary significance, mostly because, apart from a few specifically studied …

Genome streamlining, ie genome size reduction, is observed in bacteria with very different
life traits, including endosymbiotic bacteria and several marine bacteria, raising the question …

A great deal of effort in digital evolution research is invested in develo** experimental
tools. Because each experiment is different and because the emphasis is on generating …

Molecular evolutionary methods and tools are difficult to validate as we have almost no
direct access to ancient molecules. Inference methods may be tested with simulated data …

Using the in silico experimental evolution platform Aevol, we have tested the existence of a
complexity ratchet by evolving populations of digital organisms under environmental …

Across many domains of interaction, both natural and artificial, individuals use past
experience to shape future behaviors. The results of such learning processes depend on …

In case of fire in a building, how will people behave in the crowd? The behavior of each
individual affects the behavior of others and, conversely, each one behaves considering the …

Macroevolutionary processes dictate the generation and loss of biodiversity. Understanding
them is a key challenge when interrogating the earth–life system in deep time. Model‐based …