Hi Lukasz ,
With regard to the Texai approach, I have subjected myself to these constraints:
* to author the bootstrap portion of the system by myself
* to write the least amount of code (e.g. not to write an ideal AI
language first)
* to reuse existing narrow AI solutions and infrastructure to the
widest possible extent
* as Turing suggested, to build a 'child' mechanism capable of being
taught, and to subsequently train it to achieve 'adult' capability
* to design a scalable architecture having a multitude of mentors and
users
It looks now that I am trying to solve at least the following AI-hard problems
simultaneously:
* to communicate with humans using natural language
* to learn by being taught
* to achieve generally applicable commonsense behavior
* to achieve automatic programming, e.g. programming from very high
level specifications, using algorithmic and domain knowledge, plus real-time
advice from human mentors
Although daunting, I believe small progress on this combination of problems
will procede into a virtuous circle of exponential improvement.
Cheers,
-Steve
Stephen L. Reed
Artificial Intelligence Researcher
http://texai.org/blog
http://texai.org
3008 Oak Crest Ave.
Austin, Texas, USA 78704
512.791.7860
----- Original Message ----
From: Lukasz Stafiniak <[EMAIL PROTECTED]>
To: agi@v2.listbox.com
Sent: Tuesday, May 6, 2008 11:25:35 AM
Subject: Re: [agi] AGI-08 videos
On Tue, May 6, 2008 at 4:07 PM, Mark Waser <[EMAIL PROTECTED]> wrote:
>
> Note: Most of these complaints do *NOT* apply to Texai (except possibly
> the two to five level complaint -- except that Texai is actually starting at
> what I would call one of the middle levels and looks like it has reasonable
> plans for branching out.
>
Texai has the added value of freshness, but the challenge Steve is
facing now is perhaps bigger than the ones he has conquered already:
to reflect on the system's state and to represent, learn and reason
about actions.
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