concept
active
concept:horn-rulesHorn rules
Implications with variables, obtained by factoring implications modulo automorphisms.
Neighborhood — ranked by edge-count
Methods (1)
method
- rule explorationassociated_withGeneralization of attribute exploration to FOL rules via factoring modulo context automorphisms.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Simple inference rules for implications in formal contexts.
- A scoring rule optimized by predicting true probabilities; log-loss is one.
- Spreadsheet-like rule determining how a value is displayed visually; complements value rules to complete data-driven object model.
- Spreadsheet-like rule defining how a rectangle's or object's value is computed; enables data-driven behavior across all Playground tools.
- Fundamental priority rule for the four-fold process.
- Score = (sum of completed quartet values) × (number of completed quartets), rewarding breadth.
- The overarching problem domain: maintaining desired behavior or stability in dynamic systems through feedback or adaptive intervention.