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Recently, Greg Farris posted:
says... I see it a little differently. The contest is not between humans and computer control a computer can fly an airplane autonomously from point A to B. That's a ways off, considering the current state of AI. What AI?? The scenario you've just described is thousands of times simpler than what happens every time you turn on your computer to check the aviation ng. Taxiing is the only element in this scenario that is not already fully automated, and performed better by machines than by people. We only fly today to keep ourselves in practice, in case we "really" have to fly "someday". I suspect that you are confusing "autonomous" with "automatic". There is no question but that machinery can follow programmed instructions precisely (that is at the heart of CNC), however that machinery is not making decisions in a greatly dynamic environment. In your example, the location of airports are fixed, and it is a relatively simple task to have a set of instructions that would get an aircraft from one to the other; OTOH, taxiing is a dynamic environment, requiring informational interaction and control based on mutually agreed decisions -- i.e. autonomy. AFAIK, today's systems are incapable of that. Weather is also a dynamic environment, one which every aircraft must contend with on every flight; course deviations based on developing weather also require autonomy. How do current-day automatic systems handle that? AFAIK, they can't. One point of the DARPA challenge (cited earlier in this thread) is to create autonomous vehicles capable of simply getting from point A to B in a dynamic environment. The results speak for themselves. Regards, Neil |
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