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#58 Dr. Ben Goertzel - Artificial General Intelligence
Machine Learning Street Talk (MLST)
Cognitive Energy in an a G I System
The need for cognitive energy in an a g i system really comes out of the need to do experiential, interactive learning. This involves achieving complex goals under fairly strictly limited compu compute resources. It's clear that modern deep neral nuts are one type of system that's really good at patern recognition and huge amounts of sensory knowledge. If you look at declarative knowledge, like facts and beliefs, including more abstract ones such as those explored in the logic field, it's pretty clear reasoning engines provide a good way to deal with this sort of abstract knowledge.
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