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"Fuzzy logic tries to get machines to think like people do, with inexact fuzzy terms."
- Bart Kosko
 |
| Learning Robot | ||
| A robot that learns from its own experiences. |
Callahan is a research cybernetician; he creates little wheelies - robots able to move around and learn about their environment.
| "...they're supposed to have complete freedom of choice. I want their graphite-gel circuits to experience anything... they're machines with flexible memory circuits and feedback controls, and they're very impressionable."
"...they're motivated first by a random device and then they learn. The lines of connection in the graphite-gel that turn out the most successful remain like a printed circuit and then if occasion arises, they overprint them. My whole idea is to get away from a machine with a set of prearranged instructions, and let them teach themselves by trial and error." |
| From Callahan and the Wheelies,
by Stephen Barr. Published by Fantasy and Science Fiction in 1960 Additional resources -
|
Here's another quote from the story that gives more details:
Compare this idea with the Thorsen memory tube from Robert Heinlein's 1956 novel Door Into Summer.
...in the actual living animal brain, the whole system of synapses, neurons and connecting fibers was there to start with, and repeated activity would produce useful patterns, but with the wheelies' undifferentiated mass of semi-conducting graphite-gel it was more like the lining up of polarized particles in a magnetic field.
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Gerry was dubious. She had seen abortive attempts at paralysis rays before.
Let your fingers - uh - your robot do the walking. And hopping.
