chrisnorth at mac.com
Sun Jul 23 17:42:38 EST 2000
Thanks for the info. Will check it out!
in article 397505d8 at news.victoria.tc.ca, Arthur T. Murray at
uj797 at victoria.tc.ca wrote on 19/7/00 3:35 am:
> Chris North, chrisnorth at mac.com, wrote on Tue, 18 Jul 2000:
>> I have but an elementary understanding of Neural Networks,
>> and this may well have been discussed on the group before.
>> I apologise if this is the case. A quick question :
>> During my research into this subject, I've been
>> reading about the work of "Imagination Engines"
>> ( http://www.imagination-engines.com )
>> and their research into "dreaming" neural-networks
>> to create new (inventive?) ideas from existing data.
> Bjorn Wesen in message <8l2s9n$qeq$1 at merkurius.lu.se>
> has written about the down-to-earth neural-net aspects
> of imaginative dreaming computers; I would like to add
> that the dreaming itself already seems feasible within
> http://www.geocities.com/mentifex/mind4th.html AI at Home.
> The http://www.geocities.com/mentifex/theory5.html theory
> behind Mind.Forth AI encompasses dreams as the involuntary
> associative recall of not yet "passivated" memory engrams,
> combined with newly generated responses to the engrams.
> The primitive Mind.Forth code already includes a marker
> to preserve the information of whether an engram came
> in from the outside or was deposited during "re-entry"
> (as described so well in the books of Gerald Edelman).
> http://www.geocities.com/mentifex/acm.html DIY AI
> includes step-by-step AI coding instructions into
> which anyone may insert simple code for robot dreams.
> Just close off the external avenues to the SENSORIUM
> by analogy with a "reticular activating formation"
> in http://www.geocities.com/mentifex/sleep.html
> and think up an algorithm of letting "unsettled"
> memories conjure up demons of dream and nightmare.
>> One of the examples they give is "teaching" a network
>> the rules of "hard" material compounds, putting the
>> network into a pseudo-random dream state, and utilising
>> a second neural network to watch for useful results.
>> Apparently, a prototype of this system was able to
>> "discover" within a few seconds new material compounds
>> which had taken human beings years to realise. If this
>> is true then the potential, it seems to me, is incredible.
>> I'm being incredibly naive, right? :)
>> Any thoughts welcome!
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