--- On Mon, 1/12/09, YKY (Yan King Yin) <[email protected]> wrote:
> I have refined my P(Z) logic a bit. Now the truth values are all > unified to one type, probability distribution over Z, which has a > pretty nice interpretation. The new stuff are at sections 4.4.2 and > 4.4.3. > > http://www.geocities.com/genericai/P-Z-logic-excerpt-12-Jan-2009.pdf Do you have any experimental results supporting your proposed probabilistic fuzzy logic implementation? How would you devise such an experiment (for example, a prediction task) to test alternative interpretations of logical operators like AND, OR, NOT, IF-THEN, etc? Maybe you could manually encoding knowledge in your system (like you did with Goldilocks) and test whether it can make inferences? I'd be more interested to see results on real data, however. (Also, instead of a disclaimer about political correctness, couldn't you just find examples that don't reveal your obsession with sex?) -- Matt Mahoney, [email protected] > > I'm wondering if anyone is interested in helping me > implement the > logic or develop an AGI basing on it? I have already > written part of > the inference engine in Lisp. > > Also, is anyone here working on fuzzy or probabilistic > logics, other > than Ben and Pei and me? > > YKY > > > ------------------------------------------- > 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/?&; > Powered by Listbox: http://www.listbox.com ------------------------------------------- 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=126863270-d7b0b0 Powered by Listbox: http://www.listbox.com
