Title: Message
Hello Ben,
Is
there a prototype of Novamente I can download and run on a PC, for NLP
purposes?..
Thanks,
Shai.
-Original Message-From: Ben Goertzel
[mailto:[EMAIL PROTECTED] Sent: Saturday, July 31, 2004 7:05
PMTo: [EMAIL PROTECTED]Subject: Re: [agi] Teaching AI's
to self-modify
Hi Dennis,
Sorry for the long delay in reply, I've been on vacation and am now
plowing through a big pile of backed-up emails
To answer your three questions...
1) We have an NLP framework that uses a variation of the carnegie-mellon
"link parser" together with a bunch of special "semantic algorithms" for
mapping syntactic links into semantic ones, and some probabilistic inference
based algorithms for semantic disambiguation reference resolution.
Given a sentence this framework makes a number of prioritized guesses
regarding the correct interpretation of the sentence. The user gets to
view these guesses and correct them via a UI; for instance, they can select
from several possible parses, they can change the selected meaning of a word
to a different one (choosing from a menu of known meanings or defining a new
one), etc. The overall process is much slower than just freely typing in
natural language, but much faster than entering knowledge using an expert
system, formal logic based approach.
This will go into commercial use for one of our customers as of early
september.
2) Of course, I agree that ambiguity can never be fully eliminated
from natural language. NOvamente internally can deal with
ambiguity.
3) As for an example of a program generated by Sasha In
language processing, an example would be an algorithm for reference resolution
--- normally one would code such a thing in C++ and stick it in a Novamente
MindAgent, but if one codes it in Sasha then Novamente can not only execute it
but also study and modify it, because it will be represented in the form of
Novamente nodes and links. In a vision context, an example would be an
algorithm for edge detection.
This is less far along than INLINK. Right now we are using Sasha to
generate programs doing simple math stuff and list manipulations
etc.Over the next couple months we will hook it into the rest of
Novamente and start using it for applications like the ones described
above. The point is, it's a way of getting procedural knowledge into the
system in a precise yet learnable/adaptable way. Whereas INLINK is a way
of getting declarative knowledge into the system.
Not very much like the process of teaching a human infant, of
course. I think that kind of experiential interactive learning is going
to be critical to teaching Novamente, BUT, I think it makes sense to augment
it with these kinds of tricks like INLINK and Sasha, as a way of overcoming
the deficit Novamente has, compared to humans, in terms of its lack of an
evolved cognitive endowment.
I plan to write a document on this stuff during the next few days (or
perhaps the next week if things go slowly), and I'll post it to the list when
I do...
--Ben G
Dennis Gorelik [EMAIL PROTECTED]
wrote:
Ben,1)
Could you describe what is the architecture of you INLINKinteractive
framework?How is it going to handle natural language?2) I doubt
that it's possible to communicate in natural languagecompletely
unambiguously. There always will be some uncertainty.Intelligent system
itself will have to decide how to interpretincoming message.3)
Could you give an example of a program which will be generated bySasha
programming framework?Sunday, July 4, 2004, 8:58:01 AM, you
wrote:BG We're developing two powerful methods for communicating
with Novamente:BG 1) the INLINK interactive NL framework, which
allows naturalBG language to be communicated to Novamente correctly
andBG unambiguouslyBG 2) the Sasha programming
framework, which allows the easyBG construction of software programs
that manipulate Novamente nodesBG and links [and, rapid executable
versions of these programs willBG be produced via supercompilation,
www.supercompilers.com]. RightBG now, Novamente MindAgents, the
processes that guide NovamenteBG cognition, are coded as C++ objects
which are opaque to NovamenteBG cognition; but with the advent of
Sasha, we'll be able to codeBG MindAgents as Novamente nodes and
links which can in principle beBG modified/improved/replaced by
Novamente cognition.---To unsubscribe, change your
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