Mind · Strategy
Optimize
Maximize utility against a metric
Definition
Mechanism
The iterative process of adjusting parameters or structure to maximize (or minimize) a specific Objective Function defined by a Metric. It generates candidate Solutions, applies the definition to obtain comparable MetricReading values, and retains the best candidate. It can be Local (Gradient Descent) or Global (Evolutionary).
Preconditions
- Objective Function is defined
- Candidate space is explorable
- Baseline MetricReading is known
Postconditions
- Best Candidate Solution found
- Best observed MetricReading is at least as good as the Baseline reading
Invariants
Risks
Failure modes
Overfitting
Solution works perfectly on test data but fails in reality.
Goodhart's Law
Optimizing for a proxy Metric destroys the actual value.
Local Optima
Getting stuck in a 'good enough' state that prevents finding the best state.
Premature Optimization
Optimizing before the problem is fully understood.
Relationships
Builds on
Accepts
Infrastructure
The fractal unit of completed work
References
Society
System-wide scope
Physics
The directional rate of change of a scalar field — substrate for hill-climbing, attention flow, and credit assignment
Infrastructure
Definition of a quantitative property and its value semantics
Infrastructure
Quantitative value bound to a Metric definition
Used by
References
Society
Generate-evaluate-refine loop
Society
Translating internal utility to shared numeraire
Composes with
Reframe -> Optimize -> Translate loop
Transform FrameSpec into ExecutionManifest via optimization
Deeply optimizing a solution across PURE dimensions
Reference