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 ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=114414975-3c8e69 Powered by Listbox: http://www.listbox.com
