On Tue, Nov 13, 2007 at 12:34:51PM -0500, Richard Loosemore wrote:
> 
> Suppose that in some significant part of Novamente there is a 
> representation system that uses "probability" or "likelihood" numbers to 
> encode the strength of facts, as in [I like cats](p=0.75).  The (p=0.75) 
> is supposed to express the idea that the statement [I like cats] is in 
> some sense "75% true".
> 
> Either way, we have a problem:  a fact like [I like cats](p=0.75) is 
> ungrounded because we have to interpret it.  Does it mean that I like 
> cats 75% of the time?  That I like 75% of all cats?  75% of each cat? 
> Are the cats that I like always the same ones, or is the chance of an 
> individual cat being liked by me something that changes?  Does it mean 
> that I like all cats, but only 75% as much as I like my human family, 
> which I like(p=1.0)?  And so on and so on.

Eh?

You are standing at the proverbial office water coooler, and Aneesh 
says "Wen likes cats". On your drive home, you mind races .. does this
mean that Wen is a cat fancier?  You were planning on taking Wen out
on a date, and this tidbit of information could be useful ... 

> when you try to build the entire grounding mechanism(s) you are forced 
> to become explicit about what these numbers mean, during the process of 
> building a grounding system that you can trust to be doing its job:  you 
> cannot create a mechanism that you *know* is constructing sensible p 
> numbers and facts during all of its development *unless* you finally 
> bite the bullet and say what the p numbers really mean, in fully cashed 
> out terms.

But has a human, asking Wen out on a date, I don't really know what 
"Wen likes cats" ever really meant. It neither prevents me from talking 
to Wen, or from telling my best buddy that "...well, I know, for
instance, that she likes cats..."  

Lack of grounding is what makes humour funny, you can do a whole 
Pygmalion / Seinfeld episode on "she likes cats".

--linas 

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