I talked to one fellow about GO playing AI last night and I mentioned these Restricted Boltzmann Machines. If the GO problem can be cast as an image processing problem, RBMs might be worth looking into: http://www.youtube.com/watch?v=AyzOUbkUf3M Here is a more recent Google Tech talk by Hinton on RBMs http://www.youtube.com/watch?v=VdIURAu1-aU
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All very true. Which is one reason I dislike all talk of "complexity" - particularly in such a fuzzy context as debates with creationists.
But we do all have some intuitions as to what we mean by complexity in this context. Someone, I believe it was you, has claimed in this thread that evolution can generate complexity. I assume you meant something other than "Evolution harnesses mutation as a random input and hence as a source of complexity".
William Dembski is an "intelligent design theorist" (if that is not too much of an oxymoron) who has attempted to define a notion of "specified complexity" or "Complex Specified Information" (CSI). He has not, IMHO, succeeded in defining it clearly, but I think he is onto something. He asserts that biology exhibits CSI. I agree. He asserts that evolution under natural selection is incapable of generating CSI - claiming that NS can at best only transfer information from the environment to the genome. I am pretty sure he is wrong about this, but we need a clear and formal definition of CSI to even discuss the question intelligently.
So, I guess I want to turn your question around. Do you have some definition of "complexity" in mind which allows for correct mathematical thinking about these kinds of issues?
"NS can at best only transfer information from the environment to the genome." Does this statement mean to suggest that the environment is not complex?