Newsgroups: comp.ai
From: "Dmitry A. Kazakov" <mail...@dmitry-kazakov.de>
Date: Sun, 11 May 2008 05:46:24 GMT
Local: Sun, May 11 2008 1:46 am
Subject: Re: Is universal artificial neural network possible?
On Sat, 10 May 2008 11:28:22 GMT, Kenneth P. Turvey wrote: 1. To know an upper limit of complexity is useless, unless it is not proved > On Thu, 08 May 2008 10:10:57 +0000, Dmitry A. Kazakov wrote: >> On Tue, 06 May 2008 03:52:01 GMT, Kenneth P. Turvey wrote: >>> On Tue, 29 Apr 2008 10:40:53 +0000, Dmitry A. Kazakov wrote: >>> Second, since we know how long it has taken humans to evolve, we can >> No, because the medium is different. For example, it is known, > It certainly puts an upper limit on it, which is what I was saying. the least upper bound. For Pentium it is not, what makes you think it is for "intelligent"? 2. It is incomparable anyway, because, as I said before, evolution is not >> How so? Evolution is a statistical process. We have just one sample of Nothing from *this* statistics. >> evolutionary process leading to us. Statistically, this shows perfectly >> nothing. > So you can learn nothing from statistics? >>>> It certainly puts some time constraint, statistically. However that is The brain cannot compute 10341st root of pi, but it certainly can read a >>>> probably irrelevant as the event already happened - we call themselves >>>> intelligent. A real constraint for Turing-complete systems could exist >>>> if our brain used some incomputable elements. >>> Ok, to me this is silly. Just my opinion. If it was not computable, >> This is a different thing. Real-time clock is incomputable, yet any > This just doesn't follow your assertion above. result of such computing. When comparing computational power required for intelligence we should clearly distinguish the system itself and the tools it uses, even if these tools are products of its functioning. You certainly would not allow driving cars in athletics... >>>> Maybe we could state it as an optimization problem if we knew more What is the set, where the solution is looked for? >>>> about what intelligence is, but we didn't so far. We also know nothing >>>> about the complexity of the problem if stated in this form. Evolution >>>> is solving a completely different problem and the best solutions found >>>> (bacteria, insects etc) aren't any intelligent. >>> We can state it as an optimization problem already. We do it all the >> That is not enough. You have to show existence of an optimum, or at > We know that human level intelligence exists. >>> We may not have a good scientific definition of what intelligence is, In which sense is it good? Let a value is 345. What does this mean? It >>> but we have a very good working definition of what it is. >> It is possible that a scientific definition does work (impracticable), > So the fact that I can give you a good metric isn't sufficient? isn't even well-ordered. Apart from that 95% of people would claim their dogs more intelligent than the boss. > You must No, I would like to know the properties of the metric and of the noise. > also have a metric that is objective and contains no noise? That would > be quite a surprise to many in the evolutionary computation field. Whether something like the law of large numbers is true, etc. -- [ comp.ai is moderated ... your article may take a while to appear. ] You must Sign in before you can post messages.
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