Sep 3, 2026 · 46 min · 15 segments
For more information: \+ https://www.dvidshub.net/video/1005470/army-mad-scientist-speaker-series-next-gen-technology-and-armys-transformation-with-dr-alexander-kott * * * Hosted on Acast. See…
Alexander KottGuestMattHost
First of all, game theory is defined as a study of decision-making where success of one party depends on choices of other parties.
That's the very definition of the game theory, and warfare is clearly that kind of a process, that kind of a phenomenon.
And therefore, it's studied and is informed by game theory, at least to some extent.
And there, I initiated a program called RAID, Real-Time Adversarial Intelligence and Decision Making, RAID.
The idea was to investigate whether AI, especially game theory based AI, I mean AI comes in many, many different flavors and your favorite chat GPT is only one of those flavors actually.
whether this game theory-based AI can predict what an intelligent enemy, what an intelligent human opponent might do in a complex battle.
In fact, we were studying it in an example of a particularly complex battle, urban firefight.
And that means including all the effects of concealment, deception, and so on.
And confusion, the inevitable with the prog of war and errors in communications and so on.
And in 2008, we were, in fact, able to show that certain computer methods, AI combined with game theory, were able to outperform competent, experienced, battlefield-tested staff officers.
Yes.
Yeah.
Thank you, Dr. Kott.
And staying on AI, just your thoughts on just data overload and just the saturation of data and information, you know, reading and hearing, you know, using AI on the battlefield to help with decision making.
But there's just so much information, so much data that, you know, even, you you know or different ai's it could be you know just a little bit overwhelming um just basically just getting drowned in in data um how do you how do you envision like how do you see like training for this you know cognitive chaos you know you know the internet of battle things like how do we train for that how do we i guess deal with that drowning of data and information
Especially as we are increasing the number of all kind of things on the battlefield, we're complicating the battlefield.
We're making it much more saturated with information, potentially with wrong information.
We are increasing the number of eyes, and an increase in number of eyes means an opportunity for the enemy to provide false information to those eyes.
However, I do believe that AI will be increasingly helpful to human commanders, not only in organizing and filtering the data, but perhaps more importantly, providing insights into this data.
For example, detecting missing or mistaken information, detecting intentional deceptions, guessing more and more accurately what the opponent is trying to do and will do, most likely.
And furthermore, not just providing situational awareness, but also providing decision-making support.
First of all, game theory is defined as a study of decision-making where success of one party depends on choices of other parties.
That's the very definition of the game theory, and warfare is clearly that kind of a process, that kind of a phenomenon.
And therefore, it's studied and is informed by game theory, at least to some extent.
And there, I initiated a program called RAID, Real-Time Adversarial Intelligence and Decision Making, RAID.
The idea was to investigate whether AI, especially game theory based AI, I mean AI comes in many, many different flavors and your favorite chat GPT is only one of those flavors actually.
whether this game theory-based AI can predict what an intelligent enemy, what an intelligent human opponent might do in a complex battle.
In fact, we were studying it in an example of a particularly complex battle, urban firefight.
And that means including all the effects of concealment, deception, and so on.
And confusion, the inevitable with the prog of war and errors in communications and so on.
And in 2008, we were, in fact, able to show that certain computer methods, AI combined with game theory, were able to outperform competent, experienced, battlefield-tested staff officers.
Yes.
Yeah.
Thank you, Dr. Kott.
And staying on AI, just your thoughts on just data overload and just the saturation of data and information, you know, reading and hearing, you know, using AI on the battlefield to help with decision making.
But there's just so much information, so much data that, you know, even, you you know or different ai's it could be you know just a little bit overwhelming um just basically just getting drowned in in data um how do you how do you envision like how do you see like training for this you know cognitive chaos you know you know the internet of battle things like how do we train for that how do we i guess deal with that drowning of data and information
Especially as we are increasing the number of all kind of things on the battlefield, we're complicating the battlefield.
We're making it much more saturated with information, potentially with wrong information.
We are increasing the number of eyes, and an increase in number of eyes means an opportunity for the enemy to provide false information to those eyes.
However, I do believe that AI will be increasingly helpful to human commanders, not only in organizing and filtering the data, but perhaps more importantly, providing insights into this data.
For example, detecting missing or mistaken information, detecting intentional deceptions, guessing more and more accurately what the opponent is trying to do and will do, most likely.
And furthermore, not just providing situational awareness, but also providing decision-making support.
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