I got it from an internal source.

Pei

On Sun, Sep 28, 2008 at 8:24 PM, Brad Paulsen <[EMAIL PROTECTED]> wrote:
> Pei,
>
> Would you mind sharing the link (that is, if you found it on the Internet)?
>
> Thanks,
> Brad
>
> Pei Wang wrote:
>>
>> I found the paper.
>>
>> As I guessed, their update operator is defined on the whole
>> probability distribution function, rather than on a single probability
>> value of an event. I don't think it is practical for AGI --- we cannot
>> afford the time to re-evaluate every belief on each piece of new
>> evidence. Also, I haven't seen a convincing argument on why an
>> intelligent system should follow the ME Principle.
>>
>> Also this paper doesn't directly solve my example, because it doesn't
>> use second-order probability.
>>
>> Pei
>>
>> On Sat, Sep 20, 2008 at 10:13 PM, Ben Goertzel <[EMAIL PROTECTED]> wrote:
>>>
>>> The approach in that paper doesn't require any special assumptions, and
>>> could be applied to your example, but I don't have time to write up an
>>> explanation of how to do the calculations ... you'll have to read the
>>> paper
>>> yourself if you're curious ;-)
>>>
>>> That approach is not implemented in PLN right now but we have debated
>>> integrating it with PLN as in some ways it's subtler than what we
>>> currently
>>> do in the code...
>>>
>>> ben
>>>
>>> On Sat, Sep 20, 2008 at 10:02 PM, Pei Wang <[EMAIL PROTECTED]>
>>> wrote:
>>>>
>>>> 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
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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
>>
>>
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