Exploring Persian rug design using a computational evolutionary approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Considering the art of Persian rug design as a computation creative design problem, with a vast domain space of possible design solutions that have aesthetic, cultural and historical considerations, we describe our dual stage genetic algorithm system for designing basic patterns of a specific type of Persian rugs. Our approach uses hard and soft design rules that we have been gleaned from the passed down traditions of “Shah Abbas” Persian rug design. We break down the rug generation into two phases. In the first phase, the rug (a collection of connected spirals as a core structure) is generated exploiting the available genetic operators. In the second phase, an evaluation mechanism based on the most basic soft design rules ranks each generated genotype and the highly ranked genotypes are presented to the user to select the most aesthetically acceptable rugs for the next evolution. We report on early results in this paper.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it