I2Sim: A matrix-partition based framework for critical infrastructure interdependencies simulation
Bibliographic record
Abstract
In the recent years, there has been considerable interest in modeling and simulating interdependencies among critical infrastructures. For most cases, agent-based frameworks are employed for these types of simulation. In this paper, we have presented a new approach for interdependency simulation that we implemented in our infrastructure interdependency simulator (I2Sim). This is based on matrix partition-based technique named multi-area Thevenin equivalent (MATE). MATE model has been used for large-scale real-time power system simulation and is an efficient alternative to the existing agent-based critical infrastructure simulation frameworks. Another distinguishing feature of I2Sim is that, it is based on cell-channel model where interdependencies among different infrastructures can be represented through a formal technique that is based on the extension of Loentief input-output model. In this paper, we have presented the implementation architecture of I2Sim. We also have discussed some simulation results to show the usefulness of our approach.
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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 | 0.000 | 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 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".