I'm not really a mathematician, but I can think outside the box about the
problem. I am just thinking about an algorithm, a sub-program, that can
deal with different levels of generalizations which will include
collections of objects. I am not going to try to make it solve all AI
problems but it has to be able to narrow in on discovering what is relevant
to resolving a recognition issue and other analysis and reaction issues.
Thanks for your thoughts.
Jim Bromer


On Tue, Jun 11, 2019 at 8:33 AM <[email protected]> wrote:

> I can understand what your saying to a degree.
> Indeed if you trained a label "cat jumped out of the box" directly, its
> not the same as understanding cat, jump and box separately - which is alot
> more successful/invarient/reusable?
> The way you say this a "mathematics" problem, was alien to me, hence my
> nomenclatural confusion,  i come from a gamer making background, and us
> kids didnt do much formal maths, it wasnt maths to us, what we were doing.
> (but of course it is. hehe)
> So indeed, if you treat it as an algebraic model, binary or otherwise, i
> think this is quite a successful way to attempt artificial intelligence.
>
> Good luck to you,  Its a lot of work if you want a finished model, and it
> can make you filthy rich too. :)
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