Infrastructure · Data Structures
Aesthetics
Optimization for human subjective preference
Definition
Mechanism
A scalar Metric representing the fit between an Artifact and the subjective preference priors of a human observer (e.g., harmony, Parsimony, style). Used to optimize solutions for social acceptance when functional utility is equal.
Invariants
- Names the `axis` it scores.
- Carries the `normalized_range` the score is expressed in.
- Measures observer preference, not Artifact quality.
Risks
Failure modes
Objectivity mistake
a preference score is read as a quality measurement.
Prior mismatch
the observer whose priors were modelled is not the observer being served.
Relationships
Builds on
Used by
References
Society
Layered, multi-pass improvement
Codified aesthetic standards
Reference
Data schema
{
"type": "object",
"description": "An aesthetic assessment — a metric-shaped artifact capturing perceived beauty/quality on a defined scale.",
"properties": {
"axis": {
"type": "string",
"description": "Which aesthetic dimension is being rated"
},
"score": {
"type": "number",
"description": "Rating on the axis"
},
"normalized_range": {
"type": "object",
"properties": {
"min": {
"type": "number"
},
"max": {
"type": "number"
}
}
}
},
"required": [
"axis",
"score",
"normalized_range"
]
}