On Fri, 15 Oct 2010 20:10:05 -0400 Chris Gahan <[email protected]> wrote:
> I think so too. Genetic Programming always struck me as quite wasteful > because your algorithm doesn't care about *why* any of your offspring > succeeded or failed. > > Intelligence has been a huge evolutionary boon because it allows > critters to learn from the mistakes of others, and then over time > those learnings become baked into the genome. (see "how learning can > guide evolution": > http://htpprints.yorku.ca/archive/00000172/01/hinton-nowlan.htm ) > > Evolution is really really slow... Which isn't a problem when you're > an insect, and the cost of forking a child process is eating a little > bit of garbage juice. > > When you're trying to program with expensive and limited computing > resources however, it makes more sense to encode some knowledge into > the solution-generating system. What about making test / evaluation / evolution-driving code be itself evolutionary? Leads to "who judges the judge?", yes ;-) but still; there can be some human evaluators at the end of the chain. Denis -- -- -- -- -- -- -- vit esse estrany ☣ spir.wikidot.com _______________________________________________ fonc mailing list [email protected] http://vpri.org/mailman/listinfo/fonc
