Abram,

Some comments are added into your writing after my first reading. It
seems I need to read it again.

Pei

On Tue, Sep 23, 2008 at 7:26 PM, Abram Demski <[EMAIL PROTECTED]> wrote:
> Wow! I did not mean to stir up such an argument between you two!!
>
> Pei,
>
> What if instead of using "node probability", the knowledge that "wrote
> an AGI book" is rare was inserted as a low frequency (high confidence)
> truth value on "human" => "wrote an AGI book"? Could NARS use that to
> do what Ben wants? More specifically, could it do so with only the
> knowledge:
>
> Ben is agi-author <high, high>
> guy is agi-author <high, high>
> Ben is human <high, high>
> guy is human <high, high>
> human is agi-author <low, high>
>
> If this was literally all NARS knew, what difference would
> adding/removing the last item make to the system's opinion of "guy is
> Ben"?
>
> To answer your earlier question, I am still ignoring confidence. It
> could always be calculated from the frequencies, of course. But, that
> does not justify using them in the calculations the way you do.
> Perhaps once I figure out the exact formulas for everything, I will
> see if they match up to a particular value of the parameter k. Or,
> perhaps, a value of k that moves according to the specific situation.
> Hmm... actually... that could be used as a fudge factor to get
> everything to "match up"... :)
>
> Also, attached is my latest revision. I have found that NARS deduction
> does not quite fit with my definitions. Induction and abduction are OK
> so far. If in the end I merely have something "close" to NARS, I will
> consider this a success-- it is an interpretation that fits well
> enough to show where NARS essentially differs from probability theory.
>
> On Tue, Sep 23, 2008 at 5:54 PM, Pei Wang <[EMAIL PROTECTED]> wrote:
>> Yes, I know them, though I don't like any of them that I've seen. I
>> wonder Abram can find something better.
>>
>> To tell you the truth, my whole idea of confidence actually came from
>> a probabilistic formula, after my re-interpretation of it.
>>
>> Pei
>>
>> On Tue, Sep 23, 2008 at 4:35 PM, Ben Goertzel <[EMAIL PROTECTED]> wrote:
>>>
>>> Note that formally, the
>>>
>>> c = n/(n+k)
>>>
>>> equation also exists in the math of the beta distribution, which is used
>>> in Walley's imprecise probability theory and also in PLN's indefinite
>>> probabilities...
>>>
>>> So there seems some hope of making such a correspondence, based on
>>> algebraic evidence...
>>>
>>> ben
>>>
>>> On Tue, Sep 23, 2008 at 4:29 PM, Pei Wang <[EMAIL PROTECTED]> wrote:
>>>>
>>>> Abram,
>>>>
>>>> Can your approach gives the Confidence measurement a probabilistic
>>>> interpretation? It is what really differs NARS from the other
>>>> approaches.
>>>>
>>>> Pei
>>>>
>>>> On Mon, Sep 22, 2008 at 11:22 PM, Abram Demski <[EMAIL PROTECTED]>
>>>> wrote:
>>>> >>> This example also shows why NARS and PLN are similar on deduction, but
>>>> >>> very different in abduction and induction.
>>>> >>
>>>> >> Yes.  One of my biggest practical complaints with NARS is that the
>>>> >> induction
>>>> >> and abduction truth value formulas don't make that much sense to me.
>>>> >
>>>> > Interesting in the context of these statements that my current
>>>> > "justification" for NARS probabilistically justifies induction and
>>>> > abduction but isn't as clear concerning deduction. (I'm working on
>>>> > it...)
>>>> >
>>>> > --Abram Demski
>>>> >
>>>> >
>>>> > -------------------------------------------
>>>> > agi
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>>>>
>>>>
>>>> -------------------------------------------
>>>> agi
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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
>>>
>>>
>>> ________________________________
>>> agi | Archives | Modify Your Subscription
>>
>>
>> -------------------------------------------
>> agi
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>
>
>
> -------------------------------------------
> agi
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