Automatic Generation of Level Maps with the Do What's Possible\n Representation
Why this work is in the frame
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Bibliographic record
Abstract
Automatic generation of level maps is a popular form of automatic content\ngeneration. In this study, a recently developed technique employing the {\\em do\nwhat's possible} representation is used to create open-ended level maps.\nGeneration of the map can continue indefinitely, yielding a highly scalable\nrepresentation. A parameter study is performed to find good parameters for the\nevolutionary algorithm used to locate high-quality map generators. Variations\non the technique are presented, demonstrating its versatility, and an\nalgorithmic variant is given that both improves performance and changes the\ncharacter of maps located. The ability of the map to adapt to different regions\nwhere the map is permitted to occupy space are also tested.\n
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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