So we can't just create these things, we have to evolve them.

You know... this really screws with the "intelligent design" theory :)


On 25 May 2010 14:50, shainnif ismail <[email protected]> wrote:

> well these machines do have 500,000 years of evolution to catch up on, the
> analogy i recall was these system are like single cell organisms that we
> need to force evolve.
>
> Regards
> Shaine Ismail
>
>
> On 25 May 2010 14:30, Casper Bang <[email protected]> wrote:
>
>> I also studied hypermedia and here 10 years after I have yet to be
>> convinced that the theory can map to practice (i.e. bidirectional
>> links, annotations etc.) If anyone can bring this forward in practice,
>> it has got to be Google. And yet, look at how crappy live translation
>> of captions works for YouTube. That part will be particular
>> interesting to monitor when GoogleTV launches.
>>
>> On May 25, 3:17 pm, shainnif ismail <[email protected]> wrote:
>> > I went to a talk at Edinburgh University many years ago, about
>> > Neurolinguistics (http://en.wikipedia.org/wiki/Neurolinguistics)
>> >
>> > specifically on Semantics, and its use in computer science eg
>> > translating human language to code using intelligent programs, mapping
>> > concepts rather than words.
>> >
>> > It remember being very impressed and that was about 1999.
>> >
>> > shaine
>> >
>> > On 25 May 2010 13:56, Casper Bang <[email protected]> wrote:
>> >
>> >
>> >
>> >
>> >
>> > > It's an interesting subject for sure, dating back to Plato Vs.
>> > > Aristotle. I used to believe futurists like Ray Kurzweil etc. but now
>> > > I am not so sure. While we will no doubt continue to simulate larger
>> > > and more complex brains, we have yet to properly define intelligence
>> > > let alone self-awareness (humans primary driver).
>> >
>> > > Nature itself does not seem particular intelligent, it relies on crude
>> > > trial-n-error (survival-of-the-fittest) and tracer-bullets (mutations)
>> > > rather than up-front design. Indeed, modern agile processes looks an
>> > > awful lot like a step back to nature.
>> >
>> > > The fact that you can hire 100 teams to solve a problem* and they will
>> > > all get to very different solutions, suggests to me that it makes
>> > > little sense to equate computer intelligence and human intelligence.
>> > > When all 100 teams start to arrive at the (very near) same solution,
>> > > then we may be more ready to define "intelligence".
>> >
>> > > /Casper
>> >
>> > > *Not a pure algorithmic problem a la TSP.
>> >
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-- 
Kevin Wright

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