I have been talking about an AI program that will learn a simple natural
language from text IO for some time.  It would derive categories without
using an a priori grammar.  My claim is that because it is feasible to use
a program that is able to *learn* the grammars of simple programming
languages (without relying on an a priori grammar) then it would be
feasible for the program to learn a simple more natural like grammar
(without relying on a pre-programmed grammar).  I have never been talking
about using the grammars that are typically used with nlp for as long as I
have known you, but I am interested in the computational methods that would
allow a program to *learn* some grammar.  I don't know how to explain this
to you if after all these years you still do not understand what I am
talking about.  To put it another way, there are some common
insights behind Pei's ideas and mine.


On Thu, Nov 14, 2013 at 5:48 PM, Piaget Modeler
<[email protected]>wrote:

> Also Jim,
>
> I've seen a lot of text but no architecture diagrams from you.  Figure 1
> in the following
>
> http://www.aaai.org/ocs/index.php/SSS/SSS13/paper/view/5772/5944
>
> might be a good architecture for what you're trying to accomplish.
>
> Roland Hausser's language proplets look very similar to Schilling and
> Narayanan's X-Schemas.
> Hausser also has Context schemas that don't include the surface lexeme
> attribute.  I think it's
> well worth it to take a serious look at this paper and Hausser's two books.
>
> As for Pei's approach, I think it's quite interesting.  I ran it by Roland
> and he was intrigued as well.
>
> Cheers,
>
> ~PM
>
> ------------------------------
> From: [email protected]
> To: [email protected]
> Subject: RE: [agi] Re: Text-Based AI Should Be Able to Handle -Simple-
> Context-Sensitive Language
> Date: Thu, 14 Nov 2013 14:09:26 -0800
>
>
> Watch Pei's video at least and see.
>
> ~PM
>
> ------------------------------
> Date: Thu, 14 Nov 2013 15:09:53 -0500
> Subject: Re: [agi] Re: Text-Based AI Should Be Able to Handle -Simple-
> Context-Sensitive Language
> From: [email protected]
> To: [email protected]
>
>
> Pei Wang's video (wherein it's demonstrated that you don't even need a
> grammar at all). Intriguing...
>
> https://www.youtube.com/watch?v=XAFt3o6x-KU&list=
> PLZlLHCryX93J5O2iGzkSd7HjRKU9kb0tF&index=31
>
>
> I don't understand what you are getting at - as it relates to what I have
> been talking about.
> Jim
>
>
>
> On Thu, Nov 14, 2013 at 1:42 PM, Piaget Modeler <[email protected]
> > wrote:
>
> I would recommend a couple of Roland Hausser's books:
>
>
> http://www.amazon.com/Computational-Model-Natural-Language-Communication/dp/354035476X
>
>
> http://www.amazon.com/Computational-Linguistics-Talking-Robots-Processing/dp/3642224318/
>
> and
>
> Pei Wang's video (wherein it's demonstrated that you don't even need a
> grammar at all). Intriguing...
>
>
> https://www.youtube.com/watch?v=XAFt3o6x-KU&list=PLZlLHCryX93J5O2iGzkSd7HjRKU9kb0tF&index=31
>
>
> Thoughts?
>
> ------------------------------
>
>
> > Date: Thu, 14 Nov 2013 12:39:00 -0500
> > Subject: [agi] Re: Text-Based AI Should Be Able to Handle -Simple-
> Context-Sensitive Language
> > From: [email protected]
> > To: [email protected]
>
> >
> > Context Free and Context Sensitive grammars are based on
> > http://en.wikipedia.org/wiki/Chomsky_hierarchy
> > A programming language is based on a strong foundation of a
> > context-free grammar. Imagine a text-based AI program that would be
> > able to learn through trial and error. I believe that it is possible
> > to create such a program that would be able to learn a very simple
> > programming language - like simple database commands. Then, relying on
> > an incremental argument, I am saying that it should be feasible to
> > write a similar program that could learn a simple context sensitive
> > language. But the references to the formal grammars are only meant to
> > help you understand what I am trying to get at. As I read the
> > Wikipedia entries I realized that my use of the technical terms was
> > not quite right but I feel that it is ok because I was really talking
> > about a simple natural language. If it is feasible to write an AI
> > program that can learn a simple programming language then it should be
> > feasible to write an AI program that could learn a simple version of a
> > 'natural' language by using the simpler database commands. Why isn't a
> > database able to learn a simple natural language? Because the ability
> > to learn is a prerequisite.
> > I also made a reference to type IV language in the thread, but I
> > should have said a type 0 language (or type 0 grammar). In fact my
> > argument is based on the fact that a program which was able to learn
> > some simple context-free database commands would be able to use those
> > commands to learn some simple context-sensitive grammars. So I am
> > really speaking of a Type 0 language.
> >
> >
> > On Fri, Oct 25, 2013 at 10:17 PM, Jim Bromer <[email protected]>
> wrote:
> > > I am convinced that it would be easy to get a text-based Learning-AI
> > > program learn to respond in fairly simple ways to simple texts. (And
> > > I will be in a position to try it out in the near future.) The
> > > question is whether this kind of ability has to be at the expense of
> > > an ability to integrate more sophisticated kinds of learning into it.
> > >
> > > I just do not see why people have not produced solid examples of
> > > simple learning using text-based AI unless the problem was either that
> > > they felt they needed to impress the skeptics or they became
> > > confounded by their own, more complicated use of language.
> > >
> > > Simple language does not have to be at the level of a programming
> > > language. I think that programming languages are "context free"
> > > because even though the apparent context may seem to violate the
> > > context of the substrings taken separately, any particular string
> > > (that is any grammatical string) will still only generate one
> > > particular output.
> > >
> > > So a computer could (genuinely) learn about simple strings that might
> > > not be context free and use them to generate different points. As
> > > long as this was kept relatively simple it should be completely
> > > feasible and it might be a good starting point to examine what was
> > > going on. (Even though a text only AI program would not be capable of
> > > applying its knowledge in a sophisticated way, it could still
> > > constitute genuine learning in my opinion because it would be able to
> > > learn new things within the domain of the text-based interactions.)
> > >
> > > So even though my data management system is neither simple nor
> > > sophisticated, I believe that I will be able to use it for simple but
> > > somewhat sophisticated kind of learning which would be general within
> > > the limits of the domain of text.
> > >
> > > Jim Bromer
> >
> >
> > -------------------------------------------
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> --
> Jim Bromer
> On Thu, Nov 14, 2013 at 1:42 PM, Piaget Modeler <[email protected]
> > wrote:
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-- 
Jim Bromer



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