You're making quite a bold claim, I don't see you make any reference to ML, if I were to draw inference from your post I would conclude you were talking about better ways to instrument software so you can track what it is doing, not a particularly novel idea :)
The paper referenced in this post talks about a technique for teasing out the "logic" for a learning model's decision.
You're making quite a bold claim, I don't see you make any reference to ML, if I were to draw inference from your post I would conclude you were talking about better ways to instrument software so you can track what it is doing, not a particularly novel idea :)
The paper referenced in this post talks about a technique for teasing out the "logic" for a learning model's decision.