Hi Ben,
> So, I am skeptical that an AI can really think effectively in ANY
> domain unless it has done a lot of learning based on grounded
> knowledge in SOME domain first; because I think advanced cognitive
> schemata will evolve only through learning based on grounded
> knowledge...
OK. I think we're getting close to agreement on most of this except
what could be the key starting point.
My intuition is that, if an AGI is to avoid (an admittedly accelerated)
recapitulation of 3500 billion year evolution of functioning mind, it will
have to start thinking *first* in one domain using inherited rules of
thumb for interpreting data (and it might help to download some initial
ungrounded data that otherwise would have had to be accumulated
through exposure to its surroundings). Once the infant AGI has some
competence using these implanted rules of thumb it can then go
through the job of building it's own grounded rules of thumb for data
intepretation and substituting them for the rules of thumb provided at
the outset by its creators/trainers.
So my guess is that the fastest (and still effective) path to learning
would be:
- *first* a partially grounded experience
- *then* a fully grounded mastery
- then a mixed learning strategy of grounded and non-grounded as need
and oportunity dictates
Cheers, Philip
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