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 …

Evolutionary biology was previously considered a historical science with predictions about
evolutionary trajectories believed to be near impossible. The development of high …

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 …

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 …

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 …

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 …

This book describes CoSMoS (Complex Systems Modelling and Simulation), a pattern-
based approach to engineering trustworthy simulations that are both scientifically useful to …

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 …