A flexible dynamic structure DEVS algorithm towards real-time systems
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
A dynamic structure DEVS algorithm - Flexible Dynamic Structure DEVS is introduced in this paper. The dynamic structure is a salient supplementary of the Real-Time DEVS-based experimental environment we proposed before. By adapting the system organization to the changing internal/external environments while the systems are in progress, the functionality of the experimental environment is improved greatly. Consequently, it is possible to build more reliable and flexible Real-Time systems. This paper describes the abstract simulators for dynamic structure DEVS; moreover, the implementing process is presented to show how the dynamic structure abstract simulators work seamlessly with the regular DEVS simulating engine. The Real-Time DEVS-based experimental environment with the dynamic structure function exploits a new space to build reliable and adaptive Real-Time systems.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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