Low resolution human models that are unable to split concepts from their affective resonance
When a concept can't be separated from the feeling that created it, every signal returns the same feeling, and abstract thinking collapses into affective resonance.
Just like a membrane is part of the tissue, or like fat cells are joint to it. People with low resolution or affective-dominant minds are unable to produce accurate abstract thinking because they generally can’t get rid of the affective vector who generated their instance in the first place, that’s attached to the elements composing the thought.
They have trouble unlearning the seeds generated by statistical or salient learning of prediction errors, and therefore they only produce inference from the model with the same affective resonance as it generated.
Some of these individuals can be absolutely blind to the founding set of elements of a concept and say things like:
(Chosen by how often these come up in families and how many other scripts they explain)
You haven't called in two weeks. I guess you've forgotten you have a mother.
The prior links contact frequency to how strong the bond is. Silence creates a prediction error. Because the fear of losing the bond carries high precision, the error gets explained by "bond decay" instead of workload, time zones or habit.
After everything I've done for you, this is how you treat me?
A local error (a limit on one behavior) spreads through the whole history of the relationship. The model can't isolate the error by context, so one boundary updates the entire relational prior at once.
