I'm thinking of a very complex logistics system I wrote, that had to trace millions of possible paths to optimize a route. Even when the range of choices is too

I'm thinking of a very complex logistics system I wrote, that had to trace millions of possible paths to optimize a route. Even when the range of choices is too extensive to present to the user directly, and you need to resort to a list of best choices, it's indispensable to show somehow how the logic was arrived at and present ways of disabling portions of what went into the deductive process. That's something machine learning simply isn't geared towards, because the reasoning doesn't rest on reproducible sets of hierarchical rules.