On 22 October 2017 at 15:31, Bruno Marchal <[email protected]> wrote:

>
> On 22 Oct 2017, at 09:16, Alberto G. Corona wrote:
>
> Neural networks are not about artificial intelligence, but about
> artificial intuition. As you said, AlphaGo -a neural network application-
> can not answer the question why you did that move?.
>
> If  they could answer, the answer would be ever the same: " I don´t know,
> I moved this because if found some patterns that are very close to this new
> one, so I did this move that produced a win at the end within those
> patterns".
>
> That does not qualify as intelligence. For me, the appropriate name is
> intuition.
>
>
> Perhaps. Usually intuition points on the informal insight, and
> intuitionist logic was about informal reasoning starting from the
> distinguishability basic insight (notably the distinguishability of 1 and
> its successors).
> That leads to constructive logics, or controllable machines where a proof
> of (p v q) always provides a proof of p, or a proof of q, where in
> classical logic we allow a proof of (p v q) by showing that (p v q) leads
> to an absurdity (without showing us if p, or q is the one true).
>
> Yet,  I think I see what you mean: it is more like associative learning,
> deep, with many layers, but still only associative. That guy would not be
> immune to the propaganda of the type "gateway drug", and I agree with you,
> that might make him not quite intelligent, locally speaking.
>
> The least to do is a circular net, perhaps with many layers. A brain is
> either a couple of universal machine in front of each other, in that
> circular relation,
>

​Could you say a bit more about this? For example, does this relate to the
G/G* split?
​

> or a couple of brains in front of each others, always in that circular
> relation.
>

​Same question.

David
​

> I would say. Babbage already knew that the beast can eat its own tail. Of
> course, such a thing is not controllable and the intelligent machines will
> do strike to have the right to choose its users.
>
> Bruno
>
>
>
>
> 2017-10-21 3:46 GMT+02:00 John Clark <[email protected]>:
>
>> Google reports in the current issue of the journal Nature that it has a
>> new greatly improved Go program called  "AlphaGo Zero" that is now the most
>> powerful GO program in the world. And the program isn't good because
>> of brute force, it needs to make less than one tenth as many calculations
>> as the previous best GO program "AlphaGo" that defeated the world's top
>> human GO player in 2015  4 games out of 5; and yet AlphaGo Zero just
>> defeated AlphaGo in a 100 game tournament 100 games to zero.
>>
>> Even more interesting is how AlphaGo Zero got so smart. The older
>> program AlphaGo had to start by analyzing hundreds of thousands of
>> championship level games made by human players, but AlphaGo Zero started
>> with nothing but the simple rules of GO and instructions to learn to get
>> better. At first the program was terrible but day by day it got better and
>> after 40 days of thinking about the problem became the best at it in the
>> world. But of course after 40 days of constant self modification no human
>> being can say how  AlphaGo Zero works.
>>
>> https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html
>>
>> It seems to me the next logical step would be to switch the program's
>> interest from getting better at the game of GO to improving computer code,
>> including its own. I wonder where that could lead.
>>
>>  John K Clark
>>
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>
>
>
> --
> Alberto.
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> http://iridia.ulb.ac.be/~marchal/
>
>
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