Ben,

I want to engage them as volunteers.  The OpenMind project is a good example.  
Another is the game that Cycorp built: http://game.cyc.com .  The bootstrap 
dialog system will operate using Jabber, a standard chat protocol (e.g. Google 
Chat), so it should easily scale and deploy to the Internet.

-Steve

Stephen L. Reed 
Artificial Intelligence Researcher
http://texai.org/blog
http://texai.org
3008 Oak Crest Ave.
Austin, Texas, USA 78704
512.791.7860

----- Original Message ----
From: Benjamin Goertzel <[EMAIL PROTECTED]>
To: agi@v2.listbox.com
Sent: Thursday, January 10, 2008 12:16:59 PM
Subject: Re: [agi] Incremental Fluid Construction Grammar released

 Do you plan to pay these non-experts, or recruit them as volunteers?

ben

On Jan 10, 2008 1:11 PM, Stephen Reed <[EMAIL PROTECTED]> wrote:
>
> Granted that from a logical viewpoint, using a controlled English  syntax to
> acquire rules is as much work as explicitly encoding the rules.   However, a
> suitable, engaging, bootstrap dialog system may permit a multitude of
> non-expert users to add the rules, thus dramatically reducing the  amount of
> programmatic encoding, and the duration of the effort.  That is my
> hypothesis and plan.
>
> -Steve
>
> Stephen L. Reed
>
> Artificial Intelligence Researcher
> http://texai.org/blog
> http://texai.org
> 3008 Oak Crest Ave.
> Austin, Texas, USA 78704
> 512.791.7860
>
>
>
> ----- Original Message ----
> From: Benjamin Goertzel <[EMAIL PROTECTED]>
> To: agi@v2.listbox.com
> Sent: Thursday, January 10, 2008 11:06:45 AM
> Subject: Re: [agi] Incremental Fluid Construction Grammar released
>
>
>  On Jan 10, 2008 10:26 AM, William Pearson <[EMAIL PROTECTED]>  wrote:
> > On 10/01/2008, Benjamin Goertzel <[EMAIL PROTECTED]> wrote:
> > > > I'll be a lot more interested when people start creating NLP  systems
> > > > that are syntactically and semantically processing statements  *about*
> > > > words, sentences and other linguistic structures and adding  syntactic
> > > > and semantic rules based on those sentences.
> >
> > Note the new emphasis ;-) You example didn't have statements  *about*
> > words, but new rules were inferred from word usage.
>
> Well, here's the thing.
>
> Dictionary text and English-grammar-textbook text are highly  ambiguous and
> complex English... so you'll need a very sophisticated NLP system to  be able
> to grok them...
>
> OTOH, you could fairly easily define a limited, controlled syntax
> encompassing
> a variety of statements about words, sentences and other linguistic
> structures,
> and then make a system add syntactic and semantic rules based on  these
> sentences.
>
> But I don't see what the point would be, because telling the system
> stuff in the
> controlled syntax would be basically as much work as explicitly  encoding
> the rules...
>
> -- Ben
>
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