A team of researchers have recently demonstrated a fully automated technology to allow physical robots to repeatedly breed, evolving their artificial genetic code over time to better adapt to their environment.
The idea of digital evolution – imitating biological evolution in software to successively breed better and better solutions to a problem over time – is not new.
While scientists have always been confident that digital evolution could be effective as an optimisation tool, its creativity in producing original and unusual design has been more surprising. Unlike natural evolution which is driven simply by the goals of “survival and reproduction”, artificial evolution can be driven by specific targets.
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