On Tue, Dec 3, 2019 at 2:42 PM Matt Mahoney <[email protected]> wrote:
> > > >> 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? > > In the current version, OpenNARS does inference on the data preprocessed using DL tools. The paper explains more. Regards, Pei >> 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. >>> >>>> *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + delivery > options <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/T7116d9f5c1f0551d-M67cd9056c648c0ce9419037b> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T7116d9f5c1f0551d-M3b02e966acdab2196fcc78dd Delivery options: https://agi.topicbox.com/groups/agi/subscription
