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  1.  15
    The Surprising Creativity of Digital Evolution: A Collection of Anecdotes From the Evolutionary Computation and Artificial Life Research Communities.Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Julie Beaulieu, Peter Bentley, Bernard J., Belson Samuel, Bryson Guillaume, M. David, Nick Cheney, Antoine Cully, Stephane Donciuex, Fred Dyer, Ellefsen C., Feldt Kai Olav, Fischer Robert, Forrest Stephan, Frénoy Stephanie, Gagneé Antoine, Goff Christian, Grabowski Leni Le, M. Laura, Babak Hodjat, Laurent Keller, Carole Knibbe, Peter Krcah, Richard Lenski, Lipson E., MacCurdy Hod, Maestre Robert, Miikkulainen Carlos, Mitri Risto, Moriarty Sara, E. David, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David Parsons, Robert Pennock, Punch T., F. William, Thomas Ray, Schoenauer S., Shulte Marc, Sims Eric, Stanley Karl, O. Kenneth, Fran\C. Cois Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard Watson & Jason Yosinksi - 2018 - CoRR.
    Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them. However, because evolution is an algorithmic process that transcends the substrate in which it occurs, evolution’s creativity is not limited to nature. Indeed, many researchers in the field of digital evolution have observed their evolving algorithms and organisms subverting their intentions, exposing unrecognized bugs in their code, producing unexpected adaptations, or exhibiting outcomes uncannily convergent with ones in nature. Such stories routinely reveal (...)
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  2.  87
    On the Performance of Indirect Encoding Across the Continuum of Regularity.Kenneth O. Stanley, Robert T. Pennock & Charles Ofria - unknown
    ��This paper investigates how an evolutionary al- gorithm with an indirect encoding exploits the property of phenotypic regularity, an important design principle found in natural organisms and engineered designs. We present the first comprehensive study showing that such phenotypic regularity enables an indirect encoding to outperform direct encoding con- trols as problem regularity increases. Such an ability to produce regular solutions that can exploit the regularity of problems is an important prerequisite if evolutionary algorithms are to scale to high-dimensional real-world (...)
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