My apologies for that poor attempt at humor.  I'm not sure it's possible or
necessary to account for
every possible variable that could change if a butterfly flaps its wings in
Madagascar.  Maybe in a
certain context only a few variables matter.  Then you would have to write
an extremely complicated
program to account for the variables that do matter depending on whether
some other variables are
present and what degree they are present.

Basically, I'm arguing the case that AI/AGI should be focusing on building
neural networks that can function
similar to human brain, and leave it to humans or the neural network itself
to determine what variables are
important.

On Thu, Sep 18, 2014 at 6:35 PM, Kyle Kidd <[email protected]> wrote:

> P = they will come
> X = you build it
> Q = a bird flies by
> ~P = they will not come
>
> [Test]
> Execute X
>
> [Results]
> A
> B
> C
> .
> .
> .
> Z53002011232038402
>
> Conclusion: Sometimes variables are useless
>
>
> On Thu, Sep 18, 2014 at 2:10 PM, Piaget Modeler via AGI <[email protected]>
> wrote:
>
>> How have knowledge representations dealt with the absence of a
>> proposition?
>>
>> Suppose there is a knowledge base KB containing a proposition
>>
>> P
>>
>> We can represent P being false as
>>
>> (not P)
>>
>> But how do you represesent the fact that neither P nor (not P)  are in
>> the KB?
>>
>> Kindly advise.
>>
>> ~PM
>>    *AGI* | Archives <https://www.listbox.com/member/archive/303/=now>
>> <https://www.listbox.com/member/archive/rss/303/12578217-f409cecc> |
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>



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