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On 2. Dec 2019, at 19:18, Eugene Surowitz via AGI <[email protected]> wrote:

> You might take a look at Pei Wang's NARS system;
> an 'Open NARS' system is available.
> 
> On 11/30/2019 11:27 AM, digikar via AGI wrote:
> I am a third year student pursuing a Bachelors in Computer Science and 
> Engineering,
> and have been wanting to get into AGI, since, two years may be. I discovered 
> OpenCog,
> and felt it to be too daunting - like I think I'll require another year or 
> two of
> study to make good sense of it.
> 
> I studied some first language acquisition the last summer (along with a basic 
> Andrew
> Ng's ML course, another NLPwDL CS 224n from Stanford, and a more rigorous and
> exhaustive (than the Ng's anyways) Foundations of ML at my own university). 
> Reading
> about first language acquisition led me to believe that a primary problem is 
> being
> able to represent the world (with as much details as possible, since dealing 
> with
> block worlds is easy). So, this is the primary issue.
> 
> Recently, I spent some time with Natural Semantic Metalanguage, and its 
> criticisms.
> The concept is definitely ambitious; however, that definitely doesn't seem to 
> be the
> way our thoughts work. For instance, see explication for "left"
> <https://linguistics.stackexchange.com/questions/29586/nsm-explication-for-left>;
>  for
> me, 'left' just evokes a direction than all the other things. May be, it 
> might be
> useful for actually representing the world in a computer, but an explicit 
> simulation
> (with which I haven't worked with yet) seems more wieldy.
> 
> I found SOAR ambitious and more "established" - however, their forums
> <https://soar.eecs.umich.edu/forum> seemed void. So, just wanted to know if 
> anyone is
> working on it.
> 
> Other than that, does their exist some system for representing the world - 
> gaming
> systems come to mind, but is their some established standard?
> 
> Thanks!
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