Re: cogAI vs AI KR characterization

Hi Dave
I am cc ing the lists, because this exchange is part of the discourse in
our respective CGs and relates
to a post to the lists

well, I do study the child mind, but not with CogAI

Because it is not yet clear what CogAI does in relation to other approaches
(the slide aims to  help clarify)

so, is the method of COGAI (as your emails suggest) mimicking? is there a
reference for that?

you write

* If we can successfully reproduce how the best people reason,....*

how does COGAI defin best people ?



> an afterthought
>
> in respect to mimicking how humans reason and communicate well,
> each human  is different, we can generalize up to a point
>
> and mimicking may result in some kind of parrot engineering ....
> useful to start with but nowhere near intelligence at its best
>
>
> You’re missing the big picture.  If we can successfully reproduce how the
> best people reason, we will be in a strong position to improve on that by
> going beyond the limits of the human brain. The more we understand, the
> further and faster we can go. This is an evolutionary path that will go
> very much faster than biological evolution. At the same time we can make AI
> safe by ensuring that it is transparent, collaborative and embodies the
> best of human values.
>
> Human-like AI will succeed where logic based approaches have struggled.
> 500 million years of evolution is not to be dismissed so easily.
>
> I remember the enthusiastic claims around “5th generation computer
> systems” and logic programming at the start of the 1980’s, and had plenty
> of fun with the prolog language. However, the promise of logic programming
> fizzled out. Today, 40 years on, much of the focus of work on knowledge
> representation is still closely coupled to the mathematical model of logic,
> and this is holding us all back. We need to step away and exploit the
> progress in the cognitive sciences.
>
> I am especially impressed by how young children effortlessly learn
> language, given the complexity of language, and the difficulties that adult
> learners face when learning second languages. Another amazing opportunity
> is to understand how some children are so much better than others when it
> comes to demanding subjects like science and mathematics. Moreover, warm
> empathic AI will depend on understanding how children acquire social skills.
>
> Let’s lift up our eyes to the big picture for human-like AI.
>
> Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett
> W3C Data Activity Lead & W3C champion for the Web of things
>
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