Through learning, the brain accumulates cause-and-effect relationships that organize perception and behavior. This cumulative rigidity is represented by the variable Z. As Z increases, it progressively recruits a control regime specialized for prediction, optimization, and the production of reliable actions. This regime is incompatible with the ease regime associated with joy.
For example, the rule,
I must constantly choose the smoothest route and ensure that nothing
disrupts my walk
,
raises Z and establishes an optimization regime.
Z, therefore, is the variable produced and maintained by optimization. Repeated comparison, correction, and verification cause it to accumulate. When Z becomes high, access to the ease regime is blocked.
A central expression of the optimization regime is
next-action pressure (Appendix 1). As Z increases, perception becomes
organized around the question, What should I do next?
Objects,
events, and moments begin to function as prompts for selection,
correction, continuation, or completion.
This pressure maintains Z by continually transforming perception into a sequence of pending tasks. Conversely, anything that reduces next-action pressure, comparison, evaluation, or verification lowers Z. In other words, decreasing optimization decreases Z and makes access to the ease regime more likely.
Examples of Optimization-Regime Behaviors
The Impulse to Collect
The impulse to collect is a characteristic expression of the optimization regime. Collecting is highly evaluative because each item must be identified, judged, and added to an emerging collection.
This activity can feel mildly satisfying because the monitoring process
supplies small rewards at each step:
Good, you are almost there.
The impulse becomes noticeable when one starts making a list or encounters a good piece of music and immediately feels the need to save it. The experience is then disrupted by heightened monitoring and replaced by a sequence of small rewards.
Continuous Scenario Generation
The optimization regime can be recognized by its tendency to generate scenarios continuously. It constructs possibilities about the future, predicts what will happen in a video that has just begun, or imagines what might be behind a door that one has no intention of opening.
These scenarios do not necessarily serve an immediate practical purpose. Their function is to reduce openness by converting uncertainty into a set of anticipated outcomes.