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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