I see the failure in this argument at step 2. Cybersex is a kind of erotic
interaction. Erotic interactions are often called "sex" in general
conversation, even though there are many kinds of erotic interactions that
don't result in the transmission of STDs, that can't lead to children, that
don't involve the exchange of bodily fluids, and so on.

I think you have:
P(erotic | cybersex) = high
P(erotic | sex) = high
P(STD | sex) = high
P(STD | cybersex) = ?


Though, if you had a heuristic that "similar things should have similar
effects", you'd be in trouble again:

P(A|B)=high, P(A|C)=high, P(D|C)=high
-------------------------------------
P(D|B)=moderate

But the failure of a rule like this would probably be better regarded as the
breakdown of a heuristic that generally works. You can't expect a heuristic
to be correct all the time. 

I guess I'm saying that many general rules with exceptions can probably be
reengineered to avoid the exception in the first place.


If you get a computer virus during cybersex, is that an STD? :)

-Ben

-----Original Message-----
From: YKY (Yan King Yin) [mailto:[EMAIL PROTECTED] 
Sent: Tuesday, 29 July 2008 12:04 AM
To: [email protected]
Subject: [agi] a fuzzy reasoning problem

Here is an example of a problematic inference:

1.  Mary has cybersex with many different partners
2.  Cybersex is a kind of sex
3.  Therefore, Mary has many sex partners
4.  Having many sex partners -> high chance of getting STDs
5.  Therefore, Mary has a high chance of STDs

What's wrong with this argument?  It seems that a general rule is
involved in step 4, and that rule can be "refined" with some
qualifications (ie, it does not apply to all kinds of sex).  But the
question is, how can an AGI detect that an exception to a general rule
has occurred?

Or, do we need to explicitly state the exceptions to every rule?

Thanks for any comments!
YKY


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