Agent Zero a7a070024a feat(truth): add scoring pipeline module (#34) ...

Implement truth scoring orchestrator that ties PLN + ECAN together:

New types:
- TruthCategory: verified/plausible/unverified/contradicted enum
- ScorerConfig: pipeline configuration (thresholds, ECAN params)
- RelatedMemory: cross-reference result with similarity + existing scores
- ScoringResult: complete scoring output with TV, confidence, category, ECAN

Core functions:
- score_memory(): orchestrates evidence classification, PLN scoring,
  ECAN computation, and categorization
- is_contradiction(): heuristic negation-asymmetry detection
- categorize(): rule-based category assignment

Scoring pipeline:
1. Classify related memories as confirmations or contradictions
2. Scale confidence by cosine similarity (closer = stronger evidence)
3. Apply PLN score_with_evidence for truth value computation
4. Run ECAN cycle (re-score) or initialize (first score)
5. Categorize based on TV, confirmations, and contradictions

13 unit tests covering all scoring paths, categories, contradiction
detection, ECAN initialization/cycling, and output bounds.

Part of #29

2026-04-04 03:15:17 +00:00

..

ecan.rs

feat(truth): add ECAN attention economy module (#33)

2026-04-04 02:12:47 +00:00

mod.rs

feat(truth): add scoring pipeline module (#34)

2026-04-04 03:15:17 +00:00

pln.rs

feat(truth): add PLN deduction engine (#32)

2026-04-04 02:14:01 +00:00

scorer.rs

feat(truth): add scoring pipeline module (#34)

2026-04-04 03:15:17 +00:00