I would say that natural languages are indeed approximate packaging of
something deeper . . . Is a throne a chair? How about a tree-stump?
I believe that the problem that we are circling around is what used to be
called "fuzzy concepts" -- i.e. that the meaning of almost any term is
*seriously* impacted by context (i.e. that there don't exist the simple
mapping functions that you say that semanticists need -- but I argue that
there are tractable, teachable operations that can be used instead).
IMPORTANT DIGRESSION - Most machine "learning" systems and proto-AGIs are
actually "discovery" systems. I think that this is a mistake. I think that
an intelligent system can start merely as a "teachable system", progress
through being a "consistency-enforcing/conflict-resolution system", and
eventually move on to being a "discovery" system. I think that requiring
that it start out as a discovery system makes many viable paths to AGI much,
MUCH harder (if not impossible).
Neural networks have always dealt reasonably well with the problems that
they have been thrown in this realm because they distribute each of the
characteristics of a concept and if enough fire, then the concept is
recognized. However, realistically, you can also do this semantically *AND*
also possibly do a better job of it (particularly if disjunctions are
involved).
I just think that an entire localist semantics looks unnatural
Ah. But is natural language localist? I'd have to argue no. Yes, the vast
majority has to be fixed/local at any given time . . . . but there has to be
that complex, non-fixed portion (i.e. the chair in the initial example) that
can slip and slide. I'll reiterate that I think that natural language *is*
complex enough to fill the role that I believe that your approach requires
(I won't claim that it is necessarily the best choice though I can reel off
a number of advantages -- but I don't believe that your complex system
arguments rule it out as a substrate for intelligence).
Apart from anything else, semanticists can only resolve the problem of the
correspondence between atomic terms and things in the world by invoking
the most bizarre forms of possible-worlds functions, defined over infinite
sets of worlds. I find that a stretch, and a weakness.
So let's look at the mappings from throne or stump to chair . . . . A throne
does not have four legs but it is used for sitting. Which way do you want
to go? Or, if someone is currently sitting on the stump, how do you want to
go on that one?
It isn't just the representation but also how you operate on the
representation . . . .
Further, I have a *serious* concern with distributed representations that
don't provide for labeling because that will then cause a problem for
implementing (deliberately leaky) encapsulation, modularization, and other
features necessary for both scale-invariance and scalability
- Original Message -
From: "Richard Loosemore" <[EMAIL PROTECTED]>
To:
Sent: Tuesday, October 02, 2007 9:49 AM
Subject: **SPAM** Distributed Semantics [WAS Re: [agi] Religion-free
technical content]
Mark Waser wrote:
Interesting. I believe that we have a fundamental disagreement. I
would argue that the semantics *don't* have to be distributed. My
argument/proof would be that I believe that *anything* can be described
in words -- and that I believe that previous narrow AI are brittle
because they don't have both a) closure over the terms that they use and
b) the ability to learn the meaning if *any* new term (traits that I
believe that humans have -- and I'm not sure at all that the
"intelligent" part of humans have distributed semantics). Of course, I'm
also pretty sure that my belief is in the minority on this list as well.
I believe that an English system with closure and learning *is* going
to be a complex system and can be grounded (via the closure and
interaction with the real world). And scalable looks less problematic to
me with symbols than without.
We may be different enough in (hopefully educated) opinions that this
e-mail may not allow for a response other than "We shall see" but I would
be interested, if you would, in hearing more as to why you believe that
semantics *must* be distributed (though I will immediately concede that
it will make them less hackable).
Trust you to ask a difficult question ;-).
I'll just say a few things (leaving more detail for some big fat technical
paper in the future).
1) On the question of how *much* the semantics would be distributed: I
don't want to overstate my case, here. The extent to which they would be
distributed will be determined by how the system matures, using its
learning mechanisms. What that means is that my chosen learning
mechanisms, when they are fully refined, could just happen to create a
system in which the atomic concepts were mostly localized, but with a
soupcon of distributedness. Or it
