On Tue, Dec 3, 2019, 1:18 PM Pei Wang <[email protected]> wrote:

> Matt,
>
> You haven't followed us closely. ;-)
>

Obviously not. Thank you for restoring my faith in AGI.


> We are doing vision (Perception from an AGI Perspective
> <http://www.cis.temple.edu/~pwang/Publication/perception.pdf>), language 
> (Natural
> Language Processing by Reasoning and Learning
> <https://github.com/PhillyAGITeam/Website/blob/master/Papers/PAGI-TR-1.pdf>),
> knowledge base (ConceptNet and WordNet connections), and robotics. For
> application, see A 
> <https://cis.temple.edu/tagit/events/papers/Hammer.pdf>reasoning
> based <https://cis.temple.edu/tagit/events/papers/Hammer.pdf> model for
> anomaly detection in the Smart City domain
> <https://cis.temple.edu/tagit/events/papers/Hammer.pdf> and Beyond ML/DL:
> Learning by Reasoning for Smarter Cities and Safer Schools.
> <https://www.youtube.com/watch?v=s7EtRJatVmg>
>

I wasn't able to open the first 3 PDF files but the video was very
interesting. Especially setting up a billion surveillance cameras to detect
jaywalking. :-/ What roles do OpenCog and OpenNars play in this vision
system?


> Of course there are still many problems to be resolved, though I don't
> think low-level cognition is harder than high-level cognition, nor that the
> latter "never was the real problem".
>
> Regards,
>
> Pei
>
> On Tue, Dec 3, 2019 at 11:17 AM Matt Mahoney <[email protected]>
> wrote:
>
>>
>>
>> On Mon, Dec 2, 2019, 1:19 PM Eugene Surowitz via AGI <
>> [email protected]> wrote:
>>
>>> You might take a look at Pei Wang's NARS system;
>>> an 'Open NARS' system is available.
>>>
>>
>> Pei Wang was on this list when it was first founded but left years ago.
>> NARS (non axiomatic reasoning system) again has the same hardware
>> limitations of other probabilistic reasoning systems. It lacks vision,
>> language, speech, and robotics. It also never had a knowledge base or any
>> useful applications.
>>
>> Again, not trying to be critical because it's a really hard problem.
>> Modeling high level cognitive processing never was the real problem. It's
>> the petaflops of low level processing tuned by millions of years of
>> evolution.
>>
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