Extending DEVS to support multiple occurrence in component-based simulation
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a new extension of the DEVS formalism that allows multiple occurrences of a given instance of a DEVS component. This paper is a follow-up to a previous short paper in which the issue of supporting a new construction called a shared component was raised, in the case of a DEVS model. In this paper, we first demonstrate, formally, that the multi-occurrence extended definition, that includes the case of shared components, is valid because any model that is built using this extended definition accepts an equivalent model built using standard DEVS. Then we recall the benefits of sharing components for modeling, and further extend this analysis to the simulation area, by investigating how shared components can help to design better simulation engines. Finally, we describe an existing implementation of a simulation software that fully supports this shared component feature, both at the modeling and simulation levels.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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