Suppose you have a neural network which classifies handwritten digits. It has 10 outputs for 10 logits, and its “choice” is the highest logit it outputs, given an input image. This is what I mean by a choice.
I don’t understand what it means to say an entity “COULD HAVE” output a different action than what they outputted, other than talking about either (1) a stochastic function, or (2) a claim that there exists a hypothetical other function which would have output something else. I think the second case is the right picture to have in your head, but you seem to have some other picture in your head. Would you mind explaining it?
Suppose you have a neural network which classifies handwritten digits. It has 10 outputs for 10 logits, and its “choice” is the highest logit it outputs, given an input image. This is what I mean by a choice.
I don’t understand what it means to say an entity “COULD HAVE” output a different action than what they outputted, other than talking about either (1) a stochastic function, or (2) a claim that there exists a hypothetical other function which would have output something else. I think the second case is the right picture to have in your head, but you seem to have some other picture in your head. Would you mind explaining it?