published: Feb. 25, 2007, recorded: April 2006, views: 15042
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
It has been a century and a half since Darwin provided the first mechanistic explanation for the complexity of the living things we see around us. Only in the last 30 years or so have computational systems been employed to try out natural selection on complex artificial problems. There have been some successes, but the complexity of artificially evolved systems remains a very long way short of the complexity that is easy to find in biology. Why is this? Is our understanding of natural evolution missing something important? How can we improve our artificial problem solving methods to make them work better on large-scale complex problems?
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !