Well,

1 - I didnt mean to use ACO to play go. (Even I dont know which would be
the results).
2 - ANN is inspired (not remotely) by biological neural networks.
3 - I guess you misunderstood my idea of "think", or perhaps i just choose
the wrong word. By the question that I raise, i mean, how anyone say that
one state is better than another one if they have the same winrate in MC
methods. How could the machine determine this ?

Hope is clear now!
Thanks.



On Mon, Apr 1, 2013 at 3:02 PM, Álvaro Begué <[email protected]> wrote:

> Artificial Neural Networks might be remotely inspired by something
> biological, but I don't think anyone expects them to "think like a human
> player". I am not sure how one would use an "Ant Colony Optimization
> Algorithm" to play go; but wouldn't those think like ant hives, not humans?
> :)
>
> Of course, the fact that people are trying to use biologically inspired
> solutions must mean that it is the way to go. As history has taught us:
> https://www.youtube.com/watch?v=gN-ZktmjIfE
>
> Enjoy! :)
>
> Álvaro.
>
>
>
>
> On Mon, Apr 1, 2013 at 1:42 PM, Gabriel .Santos 
> <[email protected]>wrote:
>
>> Álvaro,
>>
>> When I say "think like a human player ", I mean regarding to the
>> strategy. For example, when there are several fights
>> happening simultaneously at the board, a human player can identify them and
>> decide which one worth more to invest, I thinks this is a really difficult
>> task in Go. How does he do this judge ?  Which features does he analyze?
>> And there are cases which "try" to mimic the biological solution is worth.
>> See Neural Networks, Ant Colony Optimization Algorithm, Genetic Algorithm,
>> etc.
>>
>> Santos, Gabriel.
>>
>>
>> On Mon, Apr 1, 2013 at 2:30 PM, Álvaro Begué <[email protected]>wrote:
>>
>>>
>>> On Mon, Apr 1, 2013 at 11:10 AM, Gabriel .Santos <
>>> [email protected]> wrote:
>>>
>>>> I know that it is a lot of questions, but in order to get a computer go
>>>> machine to outperform a human player I think that the machine should to
>>>> ratiocinate like a human player.
>>>
>>>
>>>
>>> Do you also think a machine that carries people very fast should have
>>> strong legs like a horse? And a machine that can fly should flap its wings
>>> like a bird? And a closer example: Do you think the same thing about chess
>>> machines?
>>>
>>> In all those cases the engineering solution to the problem was very
>>> different from the biological solution, and I expect the same will happen
>>> with computer go. Actually, it's already happening.
>>>
>>> Álvaro.
>>>
>>>
>>>
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>>>
>>
>>
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