Re:The Principles of Deep Learning Theory
by PaulDavisThe1st on Saturday April 16, 2022 @11:37AM
(#31053136)
> So what i'm interested in is machine systems for which we have (1) no prior specification of the environment; and which in the end (2) anticipate permutations in the environment which arent specified.
But there are no biological systems that do this either (other than to the extent that by virtue of their embodiement, they may necessarily come more of a builtin "understanding" of the (physical) environment)).
Re:The Principles of Deep Learning Theory
by mjburgess on Saturday April 16, 2022 @01:27PM
(#31054193)
Yes, I dont think intelligence is cognitive -- it's the content of cognition. Where does that come from? Essentially our bio-organic structure as distributed across the body, and esp. motor cortext.
In otherwords, the AI problem is unsolvable by any system. It's the wrong problem. Cognition, as a formal structure, isnt intelligent.
Re:The Principles of Deep Learning Theory
by webmaven on Saturday April 16, 2022 @02:55PM
(#31055033)
> Yes, I dont think intelligence is cognitive -- it's the content of cognition. Where does that come from? Essentially our bio-organic structure as distributed across the body, and esp. motor cortext.
All right, so where does that (the organic structure including the motor cortex that creates cognition) come from?
So what i'm interested in is machine systems for which we have (1) no prior specification of the environment; and which in the end (2) anticipate permutations in the environment which arent specified.
intelligence is the solution to this, for (1) form concepts which carve out the environment using your body; and (2) use these concepts to engage in counter-factual reasoning which simulate possible change.
I think a fatal issue for AI is that these arent even in the class of problems being addressed. Talking about intentionality here gives the field vastly more credit than it deserves. We arent even at the level of basic concept formation.