Navy F/A-18 Squadron Commander's take on A-I repeatedly...
Transcript of Navy F/A-18 Squadron Commander's take on A-I repeatedly...
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commanders-take-on-ai-repeatedly-beating-real-pilot-in-dogfight on August 25,2020. This is
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Navy F/A-18 Squadron Commander's take on A-I
repeatedly beating a Human Pilot in Dogfight
Everyone has an opinion when it comes to the stunning results of DARPA's
AlphaDogfight trials. Now hear what the skipper of a fighter squadron thinks.
by Commander Colin 'Farva' Price
August 24, 2020 / The WarZone
[Editor's note: To get up to speed, you can read all about the AlphaDogfight trials and their stunning
outcome in this recent WarZone piece. You can also watch the final round where the A-I faced-off
against the USAF F-16 Weapons Instructor and hear some commentary about the high-profile trials
from those that worked on it for DARPA in the official video below.
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The recent 5-to-0 victory of an Artificial-Intelligence (A-I) pilot developed by Heron Systems over
an Air Force F-16 human pilot does not have me scrambling to send out applications for a new job.
However, I was impressed by the AlphaDogfight trials and recognize its value in determining where the
military can capitalize on A-I applications.
For most military aviators, it may be easy to scoff at the artificiality of the contest. I may have even
mumbled “Never would have happened to a Navy pilot…” Instead, I think it is important not to get
wrapped too much around the axle about the rules of the contest and instead focus on a couple of details
that really jumped out at me on the advantages that an A-I pilot would have over a human pilot.
For the contest setup, the argument about the death of the dogfight or that there is no need for within
visual range engagements anymore is a tired one. There was a pretty popular movie in the ‘80s about
that very argument. So I am not going to rehash it here. The fact is we still constantly train to dogfight
in the Navy or as it is more commonly referred to 'Basic Fighter Maneuvers' (BFM for short).
BFM is great airborne training for gaining an understanding of your energy state in relation to the
enemy and to exercise your situational awareness in a 3-dimensional space in a physically demanding
environment. An aviator has to understand how to aggressively maneuver their aircraft while at the
same time integrating their weapon systems to cue a weapon, assess the quality of the weapons track,
and determine if the trigger should be pulled to employ the weapon.
All at the same time, they must be preventing the enemy from accomplishing the same process. It is
a dynamic and stressful environment that creates better fighter pilots. I have yet to meet a pilot who is
an above-average BFM pilot but struggles in other mission sets.
There are multiple reasons why aircrew may find themselves at the merge with the enemy. But if
they do end up at the merge, the goal is always the same: take the first shot to kill the enemy before they
can shoot them.
This fact sometimes gets lost in training engagements. To maximize the training, the BFM fight will
often be taken to a “logical conclusion”. Even though each aircraft may trade shots early in the fight,
the two aircraft will keep fighting down to the hard deck till there is an obvious winner. Aircrew will
come to the debrief patting themselves on the back for the gun footage they have of the other aircraft.
But once the footage is played, they realize they absorbed the first shot well before their triumphant gun
pipper placement. The real-world logical conclusion could have been very different if they were
missing a wing or engine because of a missile impact.
The goal at the merge of achieving the first shot must be continually hammered home.
Still, the reality is that missiles do not always guide and fuze. Thus we extend fights to teach
aviators how to continue to survive or turn a defensive situation into an offensive one. The true sport of
fighter jet aviators is a guns-only BFM engagement.
A guns-only BFM engagement is a test of who can efficiently maximize their energy package and
capitalize on each merge. Much like chess, truly great BFM pilots are thinking 2-to-3 merges ahead and
not just reacting.
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It does not take much skill to put the aircraft’s lift-vector on the other aircraft and yank on the Gs. In
fact if in doubt, just doing that will take care of 75 percent of the fight.
But BFM is about being smoothly aggressive. Understanding the difference between when it is
necessary to max-perform the aircraft and when it is time to preserve or efficiently gain energy back is
key. In a tight turning fight, gaining a couple of angles at each merge can suddenly result in one aircraft
saddled in the other aircraft’s control zone working a comfortable rear quarter gun-tracking shot.
In true gamesmanship fashion, the guns-only BFM engagement was the setting for the
AlphaDogfight contest. So what jumped out at me about the engagements?
Three main points. First was the aggressive use of accurate forward quarter gun employment.
Second was the A-I’s efficient use of energy. Lastly was the A-I’s ability to maintain high-performance
turns.
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During BFM engagements, we use training rules to keep aircrew and aircraft safe. An example of
this is using a "hard deck" which is usually 5,000 feet above the ground. Aircraft can fight down to this
pretend ground level and if an aircraft goes below the hard deck, they are considered a “rocks kill” and
the fight is ended. The 5,000 feet of separation from the actual ground provides a safety margin during
training.
Another training rule is forward-quarter gunshots are prohibited. There is a high potential for a mid-
air collision if aircraft are pointing at each other trying to employ their guns. Due to the lack of ability
to train to forward-quarter gunshots, it is not in most aviators' combat habit patterns approaching the
merge to employ such a tactic. Even so, it would be a low probability shot.
A pilot must simultaneously and continuously solve for plane-of-motion, range, and lead for a
successful gun employment. It is difficult enough for a heart of the envelope rear-quarter tracking shot
while also concentrating on controlling a low amount of closure and staying above the hard deck . At the
high rates of closure normal for a neutral head-on merge, a gun envelope would be available for around
3 seconds. 3 seconds of intense concentration to track, assess, and shoot while at the same time
avoiding hitting the other aircraft. The Heron Systems A-I on several occasions was able to rapidly fine-
tune a tracking solution and employ its simulated gun in this fashion.
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Additionally, A-I would not waste any brain cells on self-preservation approaching the merge
avoiding the other aircraft. It would just happen. The tracking, assessing, and employing process for a
missile is not much different than the gun. I am pretty confident A-I could shoot a valid missile shot
faster than I can given the same data I am currently presented within the cockpit.
F-18 Super Hornet pilot in the cockpit about to launch off the deck.
The second advantage of A-I was its ability to maintain an efficient energy state and lift vector
placement. BFM flights certainly instill aviators with confidence in flying their aircraft aggressively in
all regimes of the flight envelope. However in today’s prevalent fly-by-wire aircraft, there is less
aircraft feel providing feedback to the pilot. It takes a consistent instrument scan to check the aircraft is
at the correct G, airspeed or angle-of-attack for the given situation.
Even proficient aviators have to use a percentage of their concentration (i.e., situation awareness) on
not over-performing or under-performing the aircraft. A-I could easily track this task and would most
likely never bleed airspeed or altitude excessively, preserving vital potential and kinetic energy while
also fine-tuning lift vector placement on the other aircraft to continue the fight if required.
Lastly is A-I’s freedom from human physiological limitations. During the last engagement, both
aircraft were in a prolonged two-circle fight at 9 Gs on the deck. A two-circle fight is also referred to as
a "rate fight'. The winner is the aircraft who can track its nose faster around the circle which is directly
proportional (disregarding other tools such as thrust vectoring) to the amount of Gs being pulled.
More Gs means a faster turn rate. 9 Gs is extremely taxing on the body which the pilot in the contest
did not have to deal with, either. A human pilot would have to squeeze every muscle in the legs and
abdominals in addition to focused breathing in order to not blackout. During training, I maintained 9 Gs
in the centrifuge for about 30 seconds. Then I went home and took a nap. And that was without being
shot at.
A-I does not care about positive or negative Gs. It will perform the aircraft at the level required.
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F/A-18F maneuvering hard
The truth is current aircraft have to be built to support the 'pile of human' sitting in it. The human
will always be the limiting factor in the performance of an aircraft.
I fight the jet differently now than I did as a junior officer when I was young and flexible. I have to
fight differently. I know what my capabilities are to get a consistent and repeatable shot with the little
bit of neck magic I have left to keep sight of the other aircraft.
The fact that in the contest, the A-I had perfect information at all times, and rules of engagement
were not a factor, are not inconsequential details. I recognize that providing the amount of data and
sensor fusion the A-I would require to perform at the same level in a real aerial engagement (one that
does not take place in cyberspace) is not a small undertaking and still a bit in the future. The Rules of
Engagement discussion could fill up the syllabus for the entire semester of an ethics class and will
always be a touchy subject with regards to A-I's involvement in war.
I am not an engineer nor an ethics professor. Yet as a pilot, I am intrigued. A computer model was
able to react to the movements of a human pilot and effectively employ weapons. During the 5
engagements, the A-I had 15 valid gun employments and the human pilot had zero. These results also
hint at the A-I’s ability to avoid being shot while effectively employing its own weapons.
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Farve and his fellow Black Knights of VFA-154 flying and fighting in the age of COVID.
An A/I-enhanced weapon’s employment system in my aircraft? I am not ready for the Terminator's
Skynet to become self-aware. But I am certainly ready to invite A-I into the cockpit. Hell, I am only a
voting member as far as the flight controls are concerned in the Super Hornet anyways. If I put a control
input in that is not aerodynamically sound (i.e., could result in a departure from controlled flight), the
flight control system will not move the control surface or will move a different surface to give me the
movement I am requesting. Who is flying Who?
So if tomorrow my 7-year-old daughter decides she wants to become a Naval Aviator, I am not
going to shoot down the notion and go on a rant about the last generation of fighter pilots. I know there
will be a Navy jet for her to fly.
My future grandchildren, however? Saddle up kids and prepare yourself for some of Grandad’s wild
tails of the greatest flight in Naval Aviation: the one-hour BFM cycle back to the Case One shit-hot
break.
Those were the days!
Contact the editor: [email protected]
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Reader Comments
1. SeaDemon
The amazing thing about an A-I is that its intelligence and ability do not die when its vehicle is lost.
If the A-I is receiving data from the fights that it loses, it can use that information to recognize a similar
situation, attempt another solution, and then add that experience to its decision tree. That and an A-I's
understanding of itself as a network of nodes will make it an incredibly tough opponent as this tech
matures.
2. falcon642
"I am pretty confident AI could shoot a valid missile shot faster than I can, given the same data I
am currently presented within the cockpit.
BVR missile engagement and prosecution of timelines is an area where A-I has some serious
potential. The A-I can constantly calculate the odds of its own missile hitting and of the enemy missile
hitting it. So if the A-I can calculate that if it waits another 0.7 seconds before firing its missile and
breaking, then its chance of getting a kill goes up by 5% while its chance of getting killed only goes up
1%, then the A-I is probably going to take that increased risk to get the increased reward.
Fighter Pilot Podcast did an awesome episode on air-to-air timelines. Given all the things that go
into developing a timeline, it's hard not see how A-I would really excel at BVR missile engagements as
well.
Employing an air-to-air missile beyond visual range (BVR) is not simply a matter of detecting the
target and pulling the trigger. A host of factors demand consideration. What is the threat and what
kinds of missiles does it employ? From what speed and altitude? With this in mind, we can plan to
employ so that our missile hits the threat before the threat’s missile hits us.
https://www.fighterpilotpodcast.com/episodes/071-air-to-air-mission-planning/
3. stanleywinthrop
At its heart, BFM is about energy management. (Nose position used to be an important factor. But
HOBS weapons have diminished that factor.). When you boil it down energy management is a dynamic
math problem with 2 factors: kinetic and potential energy. An airplane that does a better job of
managing both those factors in relation to an opponent will always have an advantage. It's no surprise
that A-I has already damn near mastered that side of BFM. The other parts will no doubt come with
time.
4. TurboDan813
C.W. "Mover" Lemoine (former Super Hornet, Viper, and current T-38 pilot) did a great review
linked below. "Ate" Chuet (former Rafale-M and Super E driver with the French Navy) did an excellent
video too. But you need to toggle the closed captioning from French to English.
Ate's Take: https://www.youtube.com/watch?v=v4PNGkif1nw
Mover's Take: https://www.youtube.com/watch?v=ziCQqmEllZo
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5. JS Dreyer
I think the next phase will be AI-assisted tactical jets that also fly with A/I-controlled drones (i.e.,
loyal wingman). The pilot (or more likely his backseater) will vector the drones out ahead to manage
threats and the human-piloted aircraft will only engage as a last resort.
6. Malakas Keratas
Is there any development on something like A-I augmented assistance for pilots for things like
shooting and maneuvering as a stop gap? Between now and the pilotless A-I future?
The pilot would still have overriding control including pulling the trigger and designating the target
as well as overriding any piloting assistance. The pilot would still essentially guide the cross hairs onto
the target. The A-I would just seamlessly make many micro adjustments to optimize the pilots
intentions.
A/I-augmented piloting combined with 3D thrust vectoring would allow pilots to pull off more
aggressive maneuvers with higher G limits that are not physically possible atm. The higher g-forces
could be sustained by something like auto reclining seats that self-adjust and are capable of lying
completely flat as the A-I assists maneuvering during tighter turns. With helmets like the new F-35
HMDS, the pilot could still maintain situational awareness as he is momentarily reclined during an
extreme maneuver.
7. leovinus2001
First of all, thank you for your level-headed assessment and your service!
"I am not an engineer nor an ethics professor. Yet as a pilot ... ..."
That's fine. Personally, I come in from the other side as a scientist and engineer who has been
building, analyzing, deploying, and cursing various machine learning (ML) models during the last 30+
years. And still on a day-to-day basis.
While the "A-I" is mostly marketing which should have died in the 90's when Japan failed at the
Prolog deterministic approaches, what is called A-I these days is mostly back-propagation trained
networks based on mathematics from the 80s (Rumelhart, Hinton) but pumped up like you would not
believe. Brute force plus some newer algorithms (auto-differentiate, LSTM) saved the day and opened
up venues.
Having said that, what I have hinted at various times, asked for, and would hope that JAIC et al
would realize is that you get the most effective solutions when you have pilots like yourself talk to
AI/ML experts like myself and build some kick-ass prototypes.
DARPA and the ML community have been discussion since the 70s. A nice example is the ICASSP
conference which always had it "underwater acoustics" session next to the speech recognition session
where often an USAF man would be punting F-16 cockpit noise CDs to foster noise robust research.
When we cooperate like that, the combo will be great.
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For me, one takeaway from the recent test is that there are training sets of data based on F-16 flying
data which have gotten us to the point that we can beat a human expert. Nice! That is comparable to the
first chess programs beating the world champion (a milestone). It does not matter whether the algorithm
is reinforcement learning or seq2seq. If you have a track of positions/attitudes/velocities in 3D to work
with, you can do amazing things.
"Yet, as a pilot, I am intrigued."
Good to hear. As ML expert, so am I. Where do we go from here and how can we help? We can
make the pilots more effective. We can save lives. We need to drink beers together to find ideas to help
you. Put me in the backseat of your Hornet and I guarantee I'll come up with one novel insight or I pay
for the ride.
"Still, the reality is that missiles do not always guide and fuze ..."
Well, complain to the manufacturer of the missiles and let them hire better engineers who build
better classifiers which track the 'dot' in front of you more effectively. While I can run the number
crunching at home, the data to help you guys is not out there.
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