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 BromerOn Thu, Nov 14, 2013 at 1:42 PM, Piaget Modeler 
<[email protected]> wrote:





  
    
      
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