Bibliographic record
Abstract
We describe our work in progress on a model checker for ver-ifying ConGolog programs. ConGolog is a novel high-level programming language for robot control which incorporates a rich account of concurrency, prioritized execution, interrupts, and changes in the world that are beyond robot’s control. The novelty of this language requires new methods of proving cor-rectness. We apply the techniques from XSB tabling and the µ-calculus, to overcome the challenge of verifying complex non-terminating programs, in a terminating time. This note describes our work on a model checker (Clarke Jr., Grumberg, & Peled 1999) for verifying ConGolog pro-grams. ConGolog is a programming language for high-level control of robots (De Giacomo, Lespérance, & Levesque 2000). The language is based on the situation calculus, a for-
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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".