Hi!
I agree with what is saying in the forum. I've been involved in some
philosophy of mind as well, and it seems to me that AI is going to help
neuroscience/philosophy of mind as much as the other way around.
We don't know what's human intelligence, or consciousness, and how it
works. We know that we are good recognizing faces, or detecting the
physical properties of a falling object in milliseconds. We will have
machines that will do it better than us, but solving specific problems with
machines means nothing when you try to understand consciousness, for
example.

I agree with Ian about the salience concept. If we could discover the main
adaptation mechanism of the brain and implement it into a machine, give the
same perceptions and same survival problems, and giving enough time,
wouldn't they develop similar mechanisms? I wont say that it would feel an
emotion, but couldn't have a behavior as it had emotions? Or take language
for example. A single human wouldn't be able or have the need to create a
language, you only need that to communicate with others. If you have
several machines interacting together, will they create a new communicating
system?

And at last, I think the comments on this Nature's special about Turing
centenary go in the same direction. We are stuck. We don't know. So we
should keep trying :)

http://www.idt.mdh.se/~gdc/work/TURING-SEMINAR/TURING-NATURE/Brain-Computer.pdf


thanks!
Gari


On Fri, Oct 4, 2013 at 12:44 AM, Astier Frank <[email protected]>wrote:

> There was an interesting discussion in a philosophy class on Coursera
> around that topic recently.
>
> One of the issues is that in the end, it's not so clear what the
> computers/software "don't get", or why they shouldn't eventually "get it"
> (however more precisely we try to define that). There is a position that
> after all, human "intelligence" may not be much "more" than what we
> could/will eventually code into a computer. There are echoes of the Chinese
> Room, and Turing's test in this conversation. But it is not obvious what is
> the precise thing that humans have and that we couldn't put in a computer
> eventually. It is not clear that human brains are not entirely "mechanical"
> or could not be completely emulated in a computer.
>
> As the discussion on the Coursera forum progressed, several people argued
> for a "mind" or "soul" that could never be put in a computer, but they
> always failed to clearly define what that was in physical terms. They
> usually asserted the existence of "mind" or "soul" as something outside
> physics. On the other hand, several people argued for the complete
> physicality of the human brain, that physicality boding well for the
> eventual emulation of a complete brain/intelilgence by a computer.
>
> Frank
>
>
>
> On Oct 4, 2013, at 12:29 AM, Hannu Kettinen <[email protected]> wrote:
>
> Well, this quote from the linked ‘blog post’ says it all : “...*but it
> will not change the fundamental fact that computers just don’t get it.*”.
> Computers don’t “get” or do much at all, it is all software and algos.
> Software and algos do what we instruct them to do.
>
> Anyhow, when I read these “computer AGI’s need emotions to be able to
> function” I always refer to Data the emotionless robotron from Star Wars.
>
>
> -H
>
> On 03 Oct 2013, at 23:59, Matthew Taylor <[email protected]> wrote:
>
>
> http://opaqueparcels.com/2013/09/30/the-brain-as-a-model-for-computers-why-jeff-hawkins-wont-lead-us-significantly-closer-intelligent-machines/
>
> Any comments? ;-)
>
> ---------
> Matt Taylor
> OS Community Flag-Bearer
> Numenta
>
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