A computer science team at The University of Texas at Austin has found that robots evolve more quickly and efficiently after a virtual mass extinction modeled after real-life disasters such as the one that killed off the dinosaurs. Beyond its implications for artificial intelligence, the research supports the idea that mass extinctions actually speed up evolution by unleashing new creativity in adaptations.
Computer scientists Risto Miikkulainen and Joel Lehman co-authored the study published today in the journal PLOS One, which describes how simulations of mass extinctions promote novel features and abilities in surviving lineages.
"Focused destruction can lead to surprising outcomes," said Miikkulainen, a professor of computer science at UT Austin. "Sometimes you have to develop something that seems objectively worse in order to develop the tools you need to get better."
The original article from Science Daily.
The original source from The University of Texas.
The abstract of the study published in PLOS One.
(Score: 0) by Anonymous Coward on Thursday August 13 2015, @09:23PM
Empirical evidences to "obvious" ideas may be noteworthy, but a computer simulation as evidence is hardly ...
Now, I don't think it's completely useless work, but among the gobs and gobs that are published these days, this is right down there near the bottom of barrel.
Also, we outta to preach to the people less acquainted: there is no magic in computer simulation. It simply spits out what we put in.