|
|
Post by inventorunknown on Feb 9, 2014 15:49:10 GMT -5
.
|
|
|
|
Post by firecracker on Feb 9, 2014 19:27:34 GMT -5
Well, you left before I got a chance to ask you whether you got funding from DARPA for your project. But anyway, thanks. See ya!
|
|
|
|
Post by inventorunknown on Feb 9, 2014 19:43:24 GMT -5
.
|
|
|
|
Post by claymen on Feb 9, 2014 22:13:59 GMT -5
Ok then. It was wonderful that you were willing to share your inside knowledge with us.
I will follow your advice on the project at hand and see where that takes me. I' m excited
to see where all this will lead. Thank you and good luck to you too. Stay safe.
|
|
|
|
Post by inventorunknown on Feb 9, 2014 23:21:50 GMT -5
.
|
|
|
|
Post by inventorunknown on Feb 10, 2014 13:07:20 GMT -5
.
|
|
|
|
Post by firecracker on Feb 10, 2014 15:44:59 GMT -5
from the book, Too Big to Know, Weinberg "we'll look at a key property of the networking of knowledge: hugeness." "In 1963, Bernard K. Forscher of the Mayo Clinic complained in a now famous letter printed in the prestigious journal Science that scientists were generating too many facts. Titled Chaos in the Brickyard, the letter warned that the new generation of scientists was too busy churning out bricks -- facts -- without regard to how they go together. Brickmaking, Forscher feared, had become an end in itself. "And so it happened that the land became flooded with bricks. ... It became difficult to find the proper bricks for a task because one had to hunt among so many. ... It became difficult to complete a useful edifice because, as soon as the foundations were discernible, they were buried under an avalanche of random bricks." "The world's complexity may simply outrun our brains capacity to understand it." An excellent article on systems and Big Data: www.theatlantic.com/technology/archive/2012/01/to-know-but-not-understand-david-weinberger-on-science-and-big-data/250820/ |
|
|
|
Post by inventorunknown on Feb 11, 2014 13:05:47 GMT -5
.
|
|
|
|
Post by inventorunknown on Feb 11, 2014 13:56:02 GMT -5
.
|
|
|
|
Post by firecracker on Feb 11, 2014 19:09:27 GMT -5
 In research on 'intelligence', I found this blog which I find interesting, so am sharing. Intelligent Life in the Milky Way "Intelligent civilizations may start to compress space, time, energy, and matter (STEM compression) to the point that virtual minds inhabit nano-scales (as opposed to minds inhabiting the macro-scale). Eventually this compression should lead to the ability to exploit the extra-dimensions of space, and perhaps allow intelligent civilizations to escape this universe into a different (or neighbouring) one. " theadvancedapes.com/201348intelligent-life-in-the-milky-way/ |
|
|
|
Post by firecracker on Feb 11, 2014 19:52:17 GMT -5
It always seems to come back to 'energy'.
"Instead of specific inventions, (Leslie) White decided that the measure by which to judge the evolution of culture was energy. For White, "the primary function of culture" is to "harness and control energy."
So, it seems that somehow, the expansion of intelligence and the evolution of energy technology are connected?
Still researching.
|
|
|
|
Post by firecracker on Feb 11, 2014 20:07:54 GMT -5
Okay, so it appears that only the unsophisticated think of 'intelligence' in terms of biological entities. It now appears that the future of intelligence is squarely robotic. I am unfamiliar with ASyMTRe. "Current approaches to constructivist learning in robotics find correlations between existing low-level robot actions and a desired behavior. However, because these existing approaches begin with such a low level of action abstraction, they are extremely computationally intensive. Our new constructivist learning approach begins at a higher level of abstraction -- the sensori-motor schema -- which should enable much more computationally efficient learning. Our approach builds upon our prior work, called ASyMTRe, that forms multi-robot coalitions by automatically combining sensori-motor schema building blocks to solve the task at hand. This work adds an important learning component allowing robot team members to continually improve their skills by "chunking" existing low-level schema building blocks into efficient higher-level task solutions. This new approach will provide important new lifelong learning capabilities to multi-robot teams" This is from The Distributed Intelligence Laboratory website (University of Tennessee) dilab.eecs.utk.edu/DILresearch.html |
|
|
|
Post by firecracker on Feb 11, 2014 20:36:45 GMT -5
|
|
|
|
Post by inventorunknown on Mar 27, 2014 19:02:19 GMT -5
.
|
|
|
|
Post by inventorunknown on Mar 27, 2014 19:15:07 GMT -5
.
|
|
