Craig and Telmo:
Is "anticipation" involved at all? Deep Blue anticipated hundreds of steps
in advance (and evaluated a potential outcome before accepting, or
rejecting).
What else is in "thinking" involved? I would like to know, because I have
no idea.
John Mikes


On Thu, Oct 24, 2013 at 1:02 PM, Craig Weinberg <whatsons...@gmail.com>wrote:

>
>
> On Thursday, October 24, 2013 12:43:49 PM UTC-4, telmo_menezes wrote:
>
>> On Thu, Oct 24, 2013 at 6:39 PM, Craig Weinberg <whats...@gmail.com>
>> wrote:
>> > http://www.theatlantic.com/**magazine/archive/2013/11/the-**
>> man-who-would-teach-machines-**to-think/309529/<http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/>
>> >
>> > The Man Who Would Teach Machines to Think
>> >
>> > "...Take Deep Blue, the IBM supercomputer that bested the chess
>> grandmaster
>> > Garry Kasparov. Deep Blue won by brute force. For each legal move it
>> could
>> > make at a given point in the game, it would consider its opponent’s
>> > responses, its own responses to those responses, and so on for six or
>> more
>> > steps down the line. With a fast evaluation function, it would
>> calculate a
>> > score for each possible position, and then make the move that led to
>> the
>> > best score. What allowed Deep Blue to beat the world’s best humans was
>> raw
>> > computational power. It could evaluate up to 330 million positions a
>> second,
>> > while Kasparov could evaluate only a few dozen before having to make a
>> > decision.
>> >
>> > Hofstadter wanted to ask: Why conquer a task if there’s no insight to
>> be had
>> > from the victory? “Okay,” he says, “Deep Blue plays very good chess—so
>> what?
>> > Does that tell you something about how we play chess? No. Does it tell
>> you
>> > about how Kasparov envisions, understands a chessboard?” A brand of AI
>> that
>> > didn’t try to answer such questions—however impressive it might have
>> > been—was, in Hofstadter’s mind, a diversion. He distanced himself from
>> the
>> > field almost as soon as he became a part of it. “To me, as a fledgling
>> AI
>> > person,” he says, “it was self-evident that I did not want to get
>> involved
>> > in that trickery. It was obvious: I don’t want to be involved in
>> passing off
>> > some fancy program’s behavior for intelligence when I know that it has
>> > nothing to do with intelligence. And I don’t know why more people
>> aren’t
>> > that way...”
>>
>> I was just reading this too. I agree.
>>
>> > This is precisely my argument against John Clark's position.
>> >
>> > Another quote I will be stealing:
>> >
>> > "Airplanes don’t flap their wings; why should computers think?"
>>
>> I think the intended meaning is closer to: "airplanes don't fly by
>> flapping their wings, why should computers be intelligent by
>> thinking?".
>>
>
> It depends whether you want 'thinking' to imply awareness or not. I think
> the point is that we should not assume that computation is in any way
> 'thinking' (or intelligence for that matter). I think that 'thinking' is
> not passive enough to describe computation. It is to say that a net is
> 'fishing'. Computation is many nets within nets, devoid of intention or
> perspective. It does the opposite of thinking, it is a method for
> petrifying the measurable residue or reflection of thought.
>
>
>
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