A SYMMETRIC FORMALISM FOR DISCRETE EVENT SIMULATION WITH AGENTS
Why this work is in the frame
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Bibliographic record
Abstract
In designing a general modeling formalism for domain experts, a key challenge is to support a broad selection of their preferred paradigms yet minimize their exposure to complexity. With this aim, a formalism called Symmetric DEVS is proposed for specifying models that incorporate elements of discrete event simulation, dataflow programming, and agent-based modeling. Symmetric DEVS is based on the Discrete Event System Specification (DEVS) formalism, but differs in that atomic and composite nodes for discrete events are complemented with function and collection nodes for dataflow and agents. Like DEVS, nodes communicate over simulated time via message ports, but they also feature flow ports accommodating initialization and finalization operations. To minimize conceptual complexity, specifications are pared down to the essential elements and formulated to exhibit a high degree of symmetry. This paper defines the mathematical elements of Symmetric DEVS and presents an example of each of the four types of nodes.
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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 | 0.001 |
| 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 | 0.000 |
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