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Veteran Pilot Loses Simulated Dogfight to Impressive Artificial Intelligence

Hamartia Antidote

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http://www.slate.com/blogs/future_t...ogfight_to_alpha_artificial_intelligence.html

pilotai.jpg.CROP.promovar-mediumlarge.jpg

Retired United States Air Force Colonel Gene Lee in simulated flight combat against an artificial intelligence program.
Lisa Ventre, University of Cincinnati

We've all heard that researchers are currently working to refine self-driving cars and other autonomous vehicles. The revolution is coming. It turns out, though, that they're also setting their sights on using artificial intelligence to navigate situations you may not have expected—like aerial combat in fighter jets.

Fighter pilots undergo extensive specialized training to be able to outwit opponents in battle, and that professional experience seems like it would be hard, even impossible, to replicate. But a new artificial intelligence system, ALPHA, has been besting expert pilots in combat simulations, even when the A.I. is given a handicap.

Given years of discussion about military drones, it seems like a fighter plane piloted by A.I. wouldn't be so surprising. But unmanned aerial combat vehicles are usually remote-controlled by a person, at least in part, and are used for things like attacks and reconnaissance, not one-on-one fighting. This has been changing, though. Last summer, P.W. Singer wrote in Popular Science that, "More than 80 nations already use unmanned aerial systems, or drones, and the next generation is now emerging. They will be autonomous, jet-powered, and capable of air-to-air combat."


ALPHA was developed by aerospace engineer Nick Ernest, a recent doctoral graduate of University of Cincinnati whose company Psibernetix works with the Air Force Research Laboratory. ALPHA has been victorious in numerous simulated battles against top fighter pilots, including a series in October against retired United States Air Force Colonel Gene Lee.

Lee told University of Cincinnati Magazine that:

It seemed to be aware of my intentions and reacting instantly to my changes in flight and my missile deployment. It knew how to defeat the shot I was taking. It moved instantly between defensive and offensive actions as needed. ... Sure, you might have gotten shot down once in a while by an AI program when you, as a pilot, were trying something new, but, until now, an AI opponent simply could not keep up with anything like the real pressure and pace of combat-like scenarios.
ALPHA's prowess is impressive, but equally amazing is the tiny computer that runs it. For such a complicated set of decision-making algorithms, ALPHA requires very little processing power, running on a $35 Raspberry Pi minicomputer. ALPHA uses what are called "fuzzy logic algorithms" to form a “Genetic Fuzzy Tree” system that breaks big problems down into smaller chunks so the system can evaluate which variables are relevant to a particular decision and which of those are most important. This allows the system to work more efficiently and rapidly.

ALPHA still flys in a simulated world, but as technology continues to evolve behind combat drones and autonomous vehicles it seems more and more likely that it will converge in something like the real-world version of ALPHA. It's a powerful technology, but it makes you wonder whether we as humans really want to be getting "better" at war. Hopefully these advances will mean fewer human casualties.

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I think this closes the debate about whether future aircraft should be manned/unmanned.
 
http://www.slate.com/blogs/future_t...ogfight_to_alpha_artificial_intelligence.html

pilotai.jpg.CROP.promovar-mediumlarge.jpg

Retired United States Air Force Colonel Gene Lee in simulated flight combat against an artificial intelligence program.
Lisa Ventre, University of Cincinnati

We've all heard that researchers are currently working to refine self-driving cars and other autonomous vehicles. The revolution is coming. It turns out, though, that they're also setting their sights on using artificial intelligence to navigate situations you may not have expected—like aerial combat in fighter jets.

Fighter pilots undergo extensive specialized training to be able to outwit opponents in battle, and that professional experience seems like it would be hard, even impossible, to replicate. But a new artificial intelligence system, ALPHA, has been besting expert pilots in combat simulations, even when the A.I. is given a handicap.

Given years of discussion about military drones, it seems like a fighter plane piloted by A.I. wouldn't be so surprising. But unmanned aerial combat vehicles are usually remote-controlled by a person, at least in part, and are used for things like attacks and reconnaissance, not one-on-one fighting. This has been changing, though. Last summer, P.W. Singer wrote in Popular Science that, "More than 80 nations already use unmanned aerial systems, or drones, and the next generation is now emerging. They will be autonomous, jet-powered, and capable of air-to-air combat."


ALPHA was developed by aerospace engineer Nick Ernest, a recent doctoral graduate of University of Cincinnati whose company Psibernetix works with the Air Force Research Laboratory. ALPHA has been victorious in numerous simulated battles against top fighter pilots, including a series in October against retired United States Air Force Colonel Gene Lee.

Lee told University of Cincinnati Magazine that:

It seemed to be aware of my intentions and reacting instantly to my changes in flight and my missile deployment. It knew how to defeat the shot I was taking. It moved instantly between defensive and offensive actions as needed. ... Sure, you might have gotten shot down once in a while by an AI program when you, as a pilot, were trying something new, but, until now, an AI opponent simply could not keep up with anything like the real pressure and pace of combat-like scenarios.
ALPHA's prowess is impressive, but equally amazing is the tiny computer that runs it. For such a complicated set of decision-making algorithms, ALPHA requires very little processing power, running on a $35 Raspberry Pi minicomputer. ALPHA uses what are called "fuzzy logic algorithms" to form a “Genetic Fuzzy Tree” system that breaks big problems down into smaller chunks so the system can evaluate which variables are relevant to a particular decision and which of those are most important. This allows the system to work more efficiently and rapidly.

ALPHA still flys in a simulated world, but as technology continues to evolve behind combat drones and autonomous vehicles it seems more and more likely that it will converge in something like the real-world version of ALPHA. It's a powerful technology, but it makes you wonder whether we as humans really want to be getting "better" at war. Hopefully these advances will mean fewer human casualties.

-----------------------------------------------------------------------------------------

I think this closes the debate about whether future aircraft should be manned/unmanned.

True only in cases where the parameters are known in advance. However if the the enemy has a weapon that is completely new (say for ex particle wave based), will it be able to adapt accordingly?
 
I guess that fly-itself F-16 is going to really kick @ss.
 
Gen 6 aircrafts will be AI-piloted...that's the future.
 
True only in cases where the parameters are known in advance. However if the the enemy has a weapon that is completely new (say for ex particle wave based), will it be able to adapt accordingly?

Maybe it would be better for the drone to get hit with a new weapon first rather than a live pilot. I would assume a pilot would only seconds to realize what is happening before it is too late.
 
True only in cases where the parameters are known in advance. However if the the enemy has a weapon that is completely new (say for ex particle wave based), will it be able to adapt accordingly?
Fuzzy Logic based computing can only react properly to things that it has been trained on.
When new situations occur, it will apply the same rules as before, with unexpected results.

Good example: A robot taught that you should be careful handling eggs, so You dont break them,
got the task of making an omelette.
Stopped in its track, and when asked why, it responded that it should not break eggs.
When told it was OK to break eggs when making an omelette, it started dropping the eggs on the floor...
 
It all started with AI chess who could beat world champions, So i don't see why it can't happen in air combat, since it is based on learning, the more you try the more it will learn from your moves.
I agree that either the sixth or seventh generation warplanes will be fully AI based for their operations.
 
Maybe it would be better for the drone to get hit with a new weapon first rather than a live pilot. I would assume a pilot would only seconds to realize what is happening before it is too late.
That is true. I would rather have a machine be destroyed than even injure a living thing.
However will we trust our very existence to algorithms?
If you are the attacking force, then sure... all you lose are your machines. But if I am defending, then?
 
Not very comforting.....

Does anyone here watch a TV series called "Person of interest"?
Shows a dystopian future with a rogue AI in charge.
 
Fuzzy Logic based computing can only react properly to things that it has been trained on.
When new situations occur, it will apply the same rules as before, with unexpected results.

Good example: A robot taught that you should be careful handling eggs, so You dont break them,
got the task of making an omelette.
Stopped in its track, and when asked why, it responded that it should not break eggs.
When told it was OK to break eggs when making an omelette, it started dropping the eggs on the floor...

hmmm.. that is really an indepth analysis. really good example bro :tup::tup:
 
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