Evolution of Complexity

author: Adam PrĂ¼gel-Bennett, University of Southampton
published: Feb. 25, 2007,   recorded: April 2006,   views: 4198


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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?

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Reviews and comments:

Comment1 Michael Thompson, December 6, 2011 at 5:50 a.m.:

Do you really believe this? I think I can sum up the speakers position is "It's too difficult, we don't know" He suggests that it's too difficult for an extremely intelligent 'outside agent' to organise, but it has happened through random chance and millions of years. Haha.
So a watch is far too complex for an intelligent being to design and build? Hm. Pity he doesn't look at the scientific evidence for a young earth. But try this 'acid test' - where is the evolution of the three bone arm? I look forward to your answer.

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