Macro COCOLOG with an application to a discrete event tank system
Bibliographic record
Abstract
The control of a discrete event system is handled in the COCOLOG logic control system by use of an extra-logical representation of the control laws in terms of Conditional Control Rules (CCRs); these are condition-action pairs in which the conditions are mutually exclusive and exhaustive formulas in the language (/spl Lscr//sub k/) at the instant k. The simplicity of /spl Lscr//sub k/ leads to even the most basic concepts having a complex expression as well formed formulas in /spl Lscr//sub k/. This article presents the foundations for (i) a theory of the expression of complex predicates and functions in terms of simple macro language symbols which can be defined in an extended language /spl Lscr//sub k//sup +/, and (ii) the construction of recursive systems of simple macro actions to express complex control actions. An application example involving a water tank control system is described and a Macro CCR set for its control is presented.
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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 | 0.001 | 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".