Working definition
Rule compilation maps a source-bounded statement into explicit predicates and outputs while retaining scope, exceptions, provenance, and disagreements. A compiler can test applicability and contradictions, but fidelity requires human source review and does not imply truth of the proposition.
Notation
conditions ∧ scope ∧ ¬exception → interpretationrule = (predicate, output, provenance)Assumptions
- Source scope and translation are known.
- Predicates preserve the source meaning.
- Conflict policy is published.
Invariants
- A rule cannot fire outside its declared scope.
- Every output retains its source and version.
- Withheld rules remain visible to audit.
Reproducible procedure
- Extract bounded source claim and context.
- Encode typed conditions, exceptions, and output.
- Review fidelity, test fixtures, and conflict behavior.
Error and boundary controls
- Ambiguous language may resist deterministic encoding.
- OCR and translation errors propagate.
- Rule coverage can create false completeness.
What this does not establish
Faithful formalization establishes provenance and reproducibility only; the empirical status of an astrological proposition remains unvalidated until tested.
Explicit applications
1 cross-domain bridges
Source-bound interpretation predicates
Compile a bounded passage into explicit chart conditions, scope, exceptions, and attributed output.
Inputs
- source passage
- tradition identifier
- chart facts
Outputs
- applicable rules
- withheld rules
- source lineage
Transformation: Encode reviewed predicates without adding unstated conditions.
Limit: The mathematics makes the operation reproducible; it does not by itself establish causal interpretation or predictive validity.
Open connected system →Authoritative references
- [1]Dictionary of Algorithms and Data Structures · National Institute of Standards and Technology
Establishes: Reference vocabulary for graphs, optimization, search, data structures, complexity, and computational methods used to make algorithms explicit.
Boundary: A formal data structure can represent domain relationships without establishing that the represented causal or interpretive relationships are true.