According to a researcher in Washington, the secret to making
more human like robots is to first
understand how that human part works. For instance, in trying
to make a robotic hand, they had first made the finger bone
joints smooth. It turns out they worked better when they
really copied what a finger bone looks like, with a bumpy
and rough surface.
One of the first things Matsuoka and her team discovered upon
taking this more anatomically governed approach is that the rough
surface of the bones in the fingers was an essential, functional
feature rather than an unimportant side effect of bone
development.
ed.z.: Ha! The modern business idea is the reverse of that, try
to make the humans be more robotic! My guess is, a few thousand
years from now, given we don't nuke or biocootie or pollute
ourselves to extinction, it will be more-borg like than not, a
full blend, androids.
Hm, interesting. I think that this also means that if we really
would like to create a "real" AI, we should study (and
understand) the nature of human mind a little more.
Isn't that what the neural net based question-and-answer
learning methodology is all about? Been a while since I
messed with artificial intelligence, so I'm not up on all the
latest names, but even back in the early 1990s weighted neural
nets that asked questions were a huge research direction.
Neural nets have always been, at best, a crude approximation of
brains. The algorithms used in computer science involve
"input" and "output" neurons with feedback
loops, often with one intermediate layer. Other than that, they
are basically unstructured; the learning phase produces all the
structure it's ever going to get. The brain, meanwhile, is
highly structured and somewhat modular.
When I was studying computer science in the mid 1990s, I took a
few courses in cognitive psychology and was surprised to find
that they were using a distributed network model to describe the
mind, similar to neural networks but explicitly not neuron-based.
(Particular facts are modeled as emergent from a network, rather
than found in a particular network node.) Even there, you ended
up with structures which limited or shaped feedback loops.
And that's without considering the fact that brain
researchers today are finding that stuff other than neurons are
important to how the brain works.
And that's without considering the fact that brain
researchers today are finding that stuff other than neurons are
important to how the brain works.
For example? Does any of this new stuff explain some of the
paranormal abilities of human minds? (telepathy, telekinesis,
precognition, etc) Will the AI researchers also need to somehow
replicate these properties to create an artificial consciousness?
I mean, I think that all the religions of the east are talking
about the "third eye" for a reason...
No, sorry. It's just mundane stuff such as fat cells which
affect the timing of neural firing (which turns out to be
extremely important for hearing), plus the effects of hormones
and neurochemicals. The neurons are still the main actors, but
there's a large and extremely important supporting cast.
I think that if we really would like to create artificial
intelligence, then we should make clear what we think with the
term "intelligence" or "artificial
intelligence".
There are some definitions, but even the best defs depend on
notion of success, which is something that must be set by another
intelligent being. So it really boils down to AI being something
we deem intelligent.
To be precise, the
engineering task of creating an AI didn't even start,
for we haven't set an objective. We could not start an
analysis.
All the humanity has is optimizing expert systems. People suck in
thinking so much (in general) that they don't mind when they
don't know what are they doing.
One of the greatest jokes in biology is naming the human
"homo sapiens sapiens".
If some autonomous intelligence emerges somewhere, the humanity
is doomed, for in real we are just a bunch of bigheaded greedy
fools.
Making Robots More Human
According to a researcher in Washington, the secret to making more human like robots is to first understand how that human part works. For instance, in trying to make a robotic hand, they had first made the finger bone joints smooth. It turns out they worked better when they really copied what a finger bone looks like, with a bumpy and rough surface.
One of the first things Matsuoka and her team discovered upon taking this more anatomically governed approach is that the rough surface of the bones in the fingers was an essential, functional feature rather than an unimportant side effect of bone development.
ed.z.: Ha! The modern business idea is the reverse of that, try to make the humans be more robotic! My guess is, a few thousand years from now, given we don't nuke or biocootie or pollute ourselves to extinction, it will be more-borg like than not, a full blend, androids.