Matrix representation of conflicts with two decision-makers
Why this work is in the frame
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Bibliographic record
Abstract
New matrix representations are developed for characterizing potential human interactions under conflict within the structure of the Graph Model for Conflict Resolution for the case of a dispute having two decision makers. The matrix representations are devised for calculating individual stability and equilibria for strategic interactions defined according to the solution concepts consisting of Nash stability, general metarationality, symmetric metarationality, and sequential stability. A potential military confrontation is utilized to illustrate the procedures for applying the matrix representation of solution concepts to a practical problem. Compared with the existing systems, matrix representation of solution concepts for graph models is more effective and convenient for calculating stabilities and predicting equilibria, especially in complex conflict models with many feasible states. Moreover, the method is easy to code and can be extended to other contexts such as those that allow preference uncertainty.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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