yogsoth-ai Analogy Extraction
Extract transferable structural principles from source domains.
Stages
Stage 1: Source Identification
Identify candidate source domains using domain-scanning SOP. Evaluate each for structural similarity depth (surface/structural/systemic).
Stage 2: Abstraction
For each promising source, extract the abstract principle using abstraction-extraction or biological-strategy-extraction SOP. Strip domain-specific details to reveal the transferable mechanism.
Stage 3: Structural Mapping
Map source structure to target domain. Identify: corresponding elements, missing elements (gaps), extra elements (opportunities). Use structural-mapping SOP.
Stage 4: Transfer Validation
Assess mapping quality: Is the analogy surface-level (shared labels) or deep (shared relational structure)? Use analogy-quality-assessment SOP. Only deep analogies warrant transfer.
Minimum Yield
| Metric | Floor |
|---|---|
| Source domains scanned | ≥5 |
| Abstractions extracted | ≥3 |
| Structural mappings completed | ≥3 |
| Validated deep analogies | ≥2 |
Available SOPs
| SOP | Role |
|---|---|
| domain-scanning | Stage 1 — find candidate source domains |
| web-search | Stage 1 — supplement domain search |
| paper-overview | Stage 1 — find academic analogies |
| abstraction-extraction | Stage 2 — extract abstract principles |
| structural-mapping | Stage 3 — map source→target structure |
| analogy-quality-assessment | Stage 4 — validate mapping depth |
| novelty-scoring | Post — score resulting ideas |
| idea-synthesis | Post — synthesize into coherent concepts |