Autolearner: An Autonomic Machine Learning System Based on Concept Algebra
Why this work is in the frame
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Bibliographic record
Abstract
On the basis of the basic research in cognitive informatics, particularly the development of concept algebra, real-time process algebra (RTPA), the layered reference model of the brain (LRMB), and the object-attribute-relation (OAR) model for internal knowledge representation, the revilement of the cognitive process of learning and formal knowledge manipulation are enabled. This paper presents an autonomic learning system known as the AutoLearner. Mimics of knowledge organization, updating, and navigation inside the brain are formally modeled according to the OAR model using concept algebra and RTPA. A machine learning system and a cognitive simulator are developed to visualize interactions between thinking, learning, and the internal knowledge representation. A case study is presented to demonstrate the design and implementation of the AutoLearner system.
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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 | 0.001 | 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 | 0.000 | 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 it