A Web Based Modeling and Simulation Environment to Support the DEVS Simulation Lifecycle
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
The Discrete Event System Specification (DEVS) is a hierarchical and modular simulation formalism that can represent an unlimited range of real-world systems. Its flexibility comes at a cost: increased complexity when developing simulation models, less model reusability, and lowered adoption rates. In addition, the DEVS software environment is generally fragmented and siloed. Tools have been developed to support model debugging or simulation trace visualization but, they are often closely coupled to simulators and consequently their usefulness is limited. We present a web-based modeling and simulation environment that is meant to alleviate some of the pressure points faced by DEVS users across the simulation lifecycle. The environment provides a library of reusable models meant to favor sharing models and collaboration, a workflow-based approach for modeling large scale systems, front-end resources in the form of an API to develop case-specific simulation-based applications and a set of web resources to facilitate the simulation lifecycle management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.000 | 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