Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!uunet!abvax!odin.icd.ab.com!dmb From: dmb@odin.icd.ab.com (David Babuder) Newsgroups: comp.ai.neural-nets Subject: Re: Observations on the State of NN theory Message-ID: <1757@abvax.UUCP> Date: 21 Aug 90 16:01:00 GMT References: <3430008@hpwrce.HP.COM> Sender: news@abvax.UUCP Organization: Allen-Bradley Company, Industrial Computer Division Lines: 16 In article <3430008@hpwrce.HP.COM> kingsley@hpwrce.HP.COM (Kingsley Morse) writes: >We know that GAs can evolve true intelligence, because we've evolved to >our present human intellect. Seems like an assumption.... particularly in view of the next section > But just knowing that GAs CAN work isn't enough. The question now is: > What genetic encoding will allow a large network to stay flexible and >be trained with many patterns? Is there a change in the genetic encoding of humans who are learning disabled? More specifically, are the learning disabilities attributed to genetic problems? I do not have an answer, but the answers may help you to determine how much error is induced by the above assumption. Dave Babuder Allen-Bradley Company (ICCG) A Rockwell International Company