Agent-Based Model with Visualization Tool to Study Boundless Connectivity Threshold
Bibliographic record
Abstract
Mobility on a traditionally static percolation theory model was investigated. The modification of the percolation theory model to incorporate mobility on the model grid enabled the creation of a simple agent-based model (ABM). This resulted in statistically significant findings that the impact of agent density is inversely related to agent mobility. An interactive graphical user interface (GUI) was developed to provide a visual illustration to convey an intuitive comprehension of the ABM simulation dynamics and processes. The association between mobility and density is visually illustrated by the interactive GUI, which emphasizes patterns that can provide guidance for research into connectedness or connectivity involving percolation models. One application is epizootic modeling. Visualization is an increasingly desired method used by industry and academia. Visualization is employed in many percolation model studies as it quickly narrows down regions of interest that can be further explored using conventional analysis.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".