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It seems that evolution had not merely selected the best code for the task, it had also advocated those programs which took advantage of the electromagnetic quirks of that specific microchip environment. The five separate logic cells were clearly crucial to the chip's operation, but they were interacting with the main circuitry through some unorthodox method-- most likely via the subtle magnetic fields that are created when electrons flow through circuitry, an effect known as magnetic flux. There was also evidence that the circuit was not relying solely on the transistors' absolute ON and OFF positions like a typical chip; it was capitalizing upon analogue shades of gray along with the digital black and white.
originally posted by: AdmireTheDistance
so what part do they have no clue about?
These evolutionary computer systems may almost appear to demonstrate a kind of sentience as they dispense graceful solutions to complex problems.
But this apparent intelligence is an illusion caused by the fact that the overwhelming majority of design variations tested by the system-- most of them appallingly unfit for the task-- are never revealed.
According to current understanding, even the most advanced microchips fall far short of the resources necessary to host legitimate intelligence. On the other hand, at one time many engineers might have insisted that it's impossible to train an unclocked 10x10 FPGA to distinguish between two distinct audio tones.
Hell, I remember doing a project in high school over 10 years ago with software that 'evolved' in much the same way.
originally posted by: oneoneone
This is definitely not good. It's getting close to my own program and ...
originally posted by: DigitalJedi805
a reply to: NiZZiM
This, my friends, is ACTUAL intelligence - the creation, destruction, or simple disassociation of logical gates in response to circumstance.
I think we missed a step in robotics here; but had we not, this is straight out of iRobot.
Sweet read. I've been proposing both artificial and actual intelligence models in the context of computer programming for some time now, and this is an advance that nobody in the study can overlook. Very cool.
Just google "genetic algorithm". You will find plenty of examples
originally posted by: DigitalJedi805
originally posted by: oneoneone
This is definitely not good. It's getting close to my own program and ...
Erm... I'm probably barking down the wrong rabbit hole here... But you're telling me you've written evolving software? Because if that's the case, I'm particularly interested in a demonstration...