Water does not always run downhill, sometimes it runs uphill.
But never without a reason.
----- Original Message -----
From: "Ben Goertzel" <[EMAIL PROTECTED]>
To: <agi@v2.listbox.com>
Sent: Wednesday, February 20, 2008 9:47 AM
Subject: Re: [agi] would anyone want to use a commonsense KB?
C is not very viable as of now. The physics in Second Life is simply not
*rich* enough. SL is mainly a space for humans to socialize, so the
physics
will not get much richer in the near future -- is anyone interested in
emulating cigarette smoke in SL?
Second Life will soon be integrating the Havok 4 physics engine.
I agree that game-world physics is not yet very realistic, but it's
improving
fast, due to strong economics in the MMOG industry.
E is also hard, but you seem to be *unaware* of its difficulty. In fact,
the problem with E is the same as that with AIXI -- the thoery is
elegant,
but the actual learning would take forever. Can you explain, in broad
terms, how the AGI is to know that water runs downhill instead of up, and
that the moon is not blue, but a greyish color?
Water does not always run downhill, sometimes it runs uphill.
To learn commonsense information from text requires parsing the text
and mapping the parse-trees into semantic relationships, which are then
reasoned on by a logical reasoning engine. There is nothing easy about
this,
and there is a hard problem of semantic disambiguation of relationships.
Whether the disambiguation problem can be solved via
statistical/inferential
integration of masses of extracted relationships, remains to be seen.
Virtual embodiment coupled with NL conversation is the approach I
currently favor, but I think that large-scale NL information extraction
can
also play an important helper role. And I think that as robotics tech
develops, it can play a big role too.
I think we can take all approaches at once within an integrative framework
like Novamente or OpenCog, but if I have to pick a single focus it will
be virtual embodiment, with the other aspects as helpers...
-- Ben G
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agi
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