On Tue, Aug 23, 2016 at 7:20 PM, Noah Bliss <[email protected]> wrote:

> With enough data, Cogprime should be able to make at least one guess which
> accounted for variables such as the cats age, when it last ate, how many
> mice, etc. I am confident it could do so based on how critically engrained
> pattern matching is in its design. Given enough contextual data such as
> observing cats eat nice,, knowing cats are mammals, knowing mammals only
> need to eat until they are full, etc. drawing a reasonable conclusion
> should be no major stretch for the system. That recent embodiment example
> in Minecraft posted a few weeks ago (the one with multiple bots, keys,
> chests, and animals) demonstrated the system's ability to assume truths
> based on fuzzy but similar observations. Of course, the variables it
> accounts for in its prediction would have to be variables it knows may have
> impact. E.g. if it had never seen a cat eat a mouse, it may not assume that
> it would eat mice in this instance.
>
>
> Tl;dr. I believe we have a solid contender so long as we stick to the
> basis of patterns and sufficiently educate our system both explicitly and
> through its own observations.
>

Thanks Noah!

--linas

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