Re: Towards true A.I.

From	seeWebInstead@rem.intarweb.org (Robert Maas, http://tinyurl.com/uh3t)
Newsgroups	comp.ai.philosophy, comp.programming
Subject	Re: Towards true A.I.
References	(1 earlier) <1jwvj1x0ayc05.ytcz87k1p1x4.dlg@40tude.net> <REM-2012apr17-001@Yahoo.Com> <1qwcrz02cn5hx.1sj169ai6zp0r$.dlg@40tude.net> <REM-2012may30-001@Yahoo.Com> <4FC623E4.5C69FE90@bytecraft.com>
Message-ID	<REM-2012jun18-002@Yahoo.Com> (permalink)
Date	2012-06-18 11:08 -0700

Cross-posted to 2 groups.

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> From: Walter Banks <wal...@bytecraft.com>
> Your tiny url is broken or it may be as intended and I don't have
> enough intelligence or information to know the difference.

I use lots of tinyURLs. Which one is giving you trouble?

> I have done quite a bit of AI over the years. The most
> important comment anyone has ever made to me about
> AI is. We have spent so much effort parsing external
> image sources  (text, speech, image) and so little
> effort in the extraction of information.

I think I agree with you, but it would be helpful (to this
discussion) if you give 3-5 examples of a situation as follows:
- Overall general situation
- Specific data being observed with respect to that situation
- How far the A.I. work has gone in parsing the data
- What next step is missing, what *should* be done next, what
   actual information should be gleaned from the parse-tree that
   was already computed.

> Some of the current AI successes have been brute force.
> There is a project at the University of Waterloo on speech
> response systems that basically does a lot of brute force
> pattern matching in parallel and decides from degree of
> matches and context the most likely meaning and responds
> appropriately.

That sounds vaguely like the high level part of the methodology
used by the moderately-successful "Watson" system used to play
"Jeopardy" (TV show), with different low-level pattern matching
tools due to different type of data being analyzed. Based on what
I've learned about recent research in natural intelligence, such as
reported on the "Brain" series of "Charlie Rose" and various
reports on other science programs, I'm leaning toward believing
that part of natural intelligence actually works that way, with
various neurons competing for attention, with their signal
amplitudes proportional to their confidences in their respective
proposals, such that most confident answer wins the debate and is
passed on to the next level of decision making.

Google-groups-search-key: imtrgfdi

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Thread

Re: Towards true A.I. seeWebInstead@rem.intarweb.org (Robert Maas, http://tinyurl.com/uh3t) - 2012-05-30 00:38 -0700
  Re: Towards true A.I. Walter Banks <walter@bytecraft.com> - 2012-05-30 09:43 -0400
    Re: Towards true A.I. seeWebInstead@rem.intarweb.org (Robert Maas, http://tinyurl.com/uh3t) - 2012-06-18 11:08 -0700
      Re: Towards true A.I. casey <jgkjcasey@yahoo.com.au> - 2012-06-18 13:19 -0700
      Re: Towards true A.I. Walter Banks <walter@bytecraft.com> - 2012-06-18 20:51 -0400
        Re: Towards true A.I. seeWebInstead@rem.intarweb.org (Robert Maas, http://tinyurl.com/uh3t) - 2012-06-21 01:48 -0700
          Re: Towards true A.I. Walter Banks <walter@bytecraft.com> - 2012-06-21 11:40 -0400
  Re: Towards true A.I. curt@kcwc.com (Curt Welch) - 2012-05-30 14:59 +0000
  Re: Towards true A.I. "Dmitry A. Kazakov" <mailbox@dmitry-kazakov.de> - 2012-05-30 19:25 +0200

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