Game Theory Makes New Predictions for Evolution
is an interesting science
). Here's a bit:
In what appears to be the
first study of its kind, computer scientists report that an algorithm discovered
more than 50 years ago in game theory and now widely used in machine learning is
mathematically identical to the equations used to describe the distribution of
genes within a population of organisms. Researchers may be able to use the
algorithm, which is surprisingly simple and powerful, to better understand how
natural selection works and how populations maintain their genetic diversity.
By viewing evolution as a repeated game, in which individual players, in this
case genes, try to find a strategy that creates the fittest population,
researchers found that evolution values both diversity and fitness.