@Dragon1-1:
You can’t train a machine learning to have imagination. At most, you can get a diverse data set, but then, it’ll still be at a loss when something outside these parameters crops up. To some degree, you can compensate for “known unknowns”, but I have not yet seen an AI algorithm that could compensate for “unknown unknowns”, the way humans do.
Yes, I am talking about ML and not just a state machine. Anti-computer tactics should exist for that, too, just more sophisticated ones. It’s good for some things, but it just isn’t an actual, thinking human. Even the Boston Dynamics bots are just pretending really well. I saw the video, they’re impressive as far as robots go, but it’s not the kind of dynamic environment I was thinking about. Think about a student who learns everything by heart - such a student may pass an exam, maybe pass off for someone with a clue, but put that student in a situation that requires creative thinking, and you’ll only get a dog-eyed stare. Even something like speech recognition requires a lot of training and is utterly dependent on what microphone you use, when even a preschool child can recognize, over the telephone, not only the words but also who’s talking, even if the speech is very noisy.
Show me an AI that gets trained in F-4 vs. F-4, then takes down a human-flown MiG-21 (or at least survives the fight), and then we’ll be getting somewhere.
AI can analyze data and optimize decisions in a way that no human can ever do. It will only get better with time too. It was once thought that AI could not learn how to play the game Go, given that there is no clear strategy to it. Now a neural net, that learned how to play without being explicitly programmed with the rules, is unbeatable for any human.
Pilotless aircraft are an obvious thing for the future. It will no longer be constrained during maneuvering to not crush the pilot or cause him to black out. It will never miss a sensor reading or a threat warning. Always apply the optimal, by the book, problem resolution method instantly. It can also make 99.99% of decisions by itself, and perfectly so, while it can refer to human operators for remote guidance on the rare occasion when it is needed.