It’s actually called Symbolic AI, which codifies clearly defined rules and behaviors - think decision trees and flowcharts. I doubt machine learning will be used in this case, since the rules and reasoning used by air traffic controllers have evolved over almost a century and are well understood. Machine learning is more for situations where the software has to discover the best way to operate because the rules aren’t well established.
Machine learning is more for situations where the software has to discover the best way to operate because the rules aren’t well established.
Or the machine needs to look at messy input data and recognise what the situation is so it can apply the more structured decision processes. You can’t feed a radar image to a bunch of if/elif/elif/else statements. That pattern recognition is fallible, but so are humans. Exciting times!
It’s actually called Symbolic AI, which codifies clearly defined rules and behaviors - think decision trees and flowcharts. I doubt machine learning will be used in this case, since the rules and reasoning used by air traffic controllers have evolved over almost a century and are well understood. Machine learning is more for situations where the software has to discover the best way to operate because the rules aren’t well established.
Or the machine needs to look at messy input data and recognise what the situation is so it can apply the more structured decision processes. You can’t feed a radar image to a bunch of if/elif/elif/else statements. That pattern recognition is fallible, but so are humans. Exciting times!
You’d be surprised what symbolic AI can do with messy data - in medical diagnosis, for example - but LLMs suck at it.