Evolvable fashion-based cellular automata for generating cavern systems
Why this work is in the frame
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Bibliographic record
Abstract
Cellular automata can be used to rapidly generate complex images. This study introduces fashion-based cellular automata as a new representation for generating cavern-like level maps. Fashion-based automata are defined by a competition matrix that defines the benefit to a given cell state of having a neighbor of each possible cell state. A simple fitness function permits this type of automata to be evolved to produce a variety of level maps. A parameter study is performed and a variety of level maps are evolved with a toroidal grid, ensuring that the level maps tile. The parameter study demonstrates a robustness of the fashion based representation to the variation of parameters. The appearance of a given cavern-like level is encoded in the evolved automaton rule permitting the creation of many levels with a similar character simply by varying initial conditions. The cellular automata rules function in local neighborhoods meaning that the level generation system scales smoothly to any desired level map size.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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