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So there is an inherent contradiction in this in that looking at the past examples is not really incremental anymore. We could have some kind of an n-back or mini-batch how learning or something to make it more incremental.
This being said, I think it should be pretty straightforward-- probably more so with Danny's refactor. If we have an interface for the how learner, it should be able to accept more than one example and it should try to find a solution that covers them all. Given that a solution that covers them all has to be a solution to each of them, we can just do the regular search for one of the examples (the most recent?) and just reject solutions that do not cover all the past positive examples as well.
Currently How Search operators over the single given example without looking at prior positive examples. This is something that SimStudent used to do.
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