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lessons from Cyc

Mentifex mentifex at my-deja.com
Tue Dec 12 11:26:36 EST 2000


In article <9155d0$onl$1 at news.ox.ac.uk>,
  "spambrolly" <spambrolly at softhome.net> wrote:
> If the semantic store is complex enough, and has extracted
> sound prototypes, then the problem is dual: how to traverse
> this semantic landscape, and how to convert to and from it.
> That is, how to think using the knowledge at our disposal,
> and how to add to, and act upon that thought / knowledge.
>
> Presumably, the best Cyc can hope for is some form of
> Turing test-beater, with the input system reversed and
> compromised for the sake of conversation.
>
> > > There is a shrinking faction within the AI community
> > > who is convinced that they can figure out intelligence
> > > on a level of abstraction higher than the neural level.
> >
> > Quit the neural systems, you copiers. The only failure
> > there will be will be your own, because you don't
> > understand what you're making.
>
> The similarity of Mentifex's mind project to a recurent
> associative neural network, such as that found in the
> hippocampus (Rolls & Treves 1998), is striking, if not uncanny.
Mentifex/ATM:
Thank you for inspecting the PD AI, which is being ported to
http://www.geocities.com/mentifex/js-mind.html AI in JavaScript.

>
> spambrolly

Arthur T. Murray, mentifex at scn.org
--
http://www.cyc.com -- [ Some pertinent URLs, not my personal sig ]
http://www.geocities.com/mentifex/mind4th.html Mind.Forth AI;
http://www.geocities.com/mentifex/standard.html "Standards in AI";
http://www.netpedia.net/hosting/mentifex/theory5.html AI mind model.


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