Sounds like the distinction is about where/how we’re drawing the abstraction boundaries.
“Hiding information” suggests that there’s some object X with a boundary (i.e. a Markov blanket), and only the summary information is visible outside that boundary.
“Ignoring information” suggests that there’s some other object(s) Y with a boundary around them, and only the summary information about X is visible inside that boundary.
So basically we’re defining which variables are “far away” by exclusion in one case (i.e. “everything except blah is far away”) and inclusion in the other case (i.e. “only blah is far away”). I could definitely imagine the two having different algorithmic implications and different applications.
As for “getting rid of information”, I think that’s hiding information plus somehow eliminating our own ability to observe the hidden part. Again, I could definitely imagine that having additional algorithmic implications or applications. (Though this one feels weird for me to think about at all; I usually imagine everything from an external perspective where everything is always observable and immutable.)
Sounds like the distinction is about where/how we’re drawing the abstraction boundaries.
“Hiding information” suggests that there’s some object X with a boundary (i.e. a Markov blanket), and only the summary information is visible outside that boundary.
“Ignoring information” suggests that there’s some other object(s) Y with a boundary around them, and only the summary information about X is visible inside that boundary.
So basically we’re defining which variables are “far away” by exclusion in one case (i.e. “everything except blah is far away”) and inclusion in the other case (i.e. “only blah is far away”). I could definitely imagine the two having different algorithmic implications and different applications.
As for “getting rid of information”, I think that’s hiding information plus somehow eliminating our own ability to observe the hidden part. Again, I could definitely imagine that having additional algorithmic implications or applications. (Though this one feels weird for me to think about at all; I usually imagine everything from an external perspective where everything is always observable and immutable.)
Yeah I think your descriptions match what I was getting at.