The approach in that paper doesn't require any special assumptions, and
could be applied to your example, but I don't have time to write up an
explanation of how to do the calculations ... you'll have to read the paper
yourself if you're curious ;-)

That approach is not implemented in PLN right now but we have debated
integrating it with PLN as in some ways it's subtler than what we currently
do in the code...

ben

On Sat, Sep 20, 2008 at 10:02 PM, Pei Wang <[EMAIL PROTECTED]> wrote:

> I didn't know this paper, but I do know approaches based on the
> principle of maximum/optimum entropy. They usually requires much more
> information (or assumptions) than what is given in the following
> example.
>
> I'd be interested to know what the solution they will suggest for such
> a situation.
>
> Pei
>
> On Sat, Sep 20, 2008 at 9:53 PM, Ben Goertzel <[EMAIL PROTECTED]> wrote:
> >
> >>
> >>
> >> Think about a concrete example: if from one source the system gets
> >> P(A-->B) = 0.9, and P(P(A-->B) = 0.9) = 0.5, while from another source
> >> P(A-->B) = 0.2, and P(P(A-->B) = 0.2) = 0.7, then what will be the
> >> conclusion when the two sources are considered together?
> >
> > There are many approaches to this within the probabilistic framework,
> > one of which is contained within this paper, for example...
> >
> > http://cat.inist.fr/?aModele=afficheN&cpsidt=16174172
> >
> > (I have a copy of the paper but I'm not sure where it's available for
> > free online ... if anyone finds it please post the link... thx)
> >
> > Ben
> > ________________________________
> > agi | Archives | Modify Your Subscription
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

"Nothing will ever be attempted if all possible objections must be first
overcome " - Dr Samuel Johnson



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agi
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