An overview of the COSYE environment for construction simulation
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
As the degree of complexity in construction systems increases, the concepts of construction simulation must be advanced and formalized in practice as the primary means for designing, analyzing, planning, and controlling construction projects and facilities. Whereas the prevalent approach for simulating construction operations has traditionally been discrete-event process interaction simulation, the authors propose a strategic re-engineering of simulation methods in dynamic Construction Synthetic Environments (COSYE). The High Level Architecture (HLA) is identified as one of the most promising approaches to address the challenges faced by construction simulation and decision support. This architecture has been adopted as the basis of a new generation of modeling and simulation tools. In this paper, the authors propose a model for developing virtual environments to capture all features, resources and processes required to design, build, and maintain a facility, outlining the COSYE environment and federation structure, and describing a test application in construction bidding simulation.
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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 | 0.000 | 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