yogsoth-ai Bridge Validation
Validate analogy depth and transfer viability before committing resources to transfer.
Stages
Stage 1: Analogy Quality Assessment
Apply analogy-quality-assessment SOP to each candidate analogy. Classify depth:
- Surface: Shared object attributes only (e.g., "both are round") — REJECT
- Structural: Shared relational structure (e.g., "both use negative feedback to maintain homeostasis") — ACCEPT
- Systemic: Shared higher-order constraints and causal structure — STRONG ACCEPT
Stage 2: Transfer Adaptation
For accepted analogies, test transfer viability using transfer-adaptation SOP:
- Can the principle be stated independently of source domain?
- Does the target domain have the necessary substrate for the principle?
- What adaptations are needed to fit target constraints?
Stage 3: Structural Consistency Check
Verify the adapted transfer maintains structural consistency:
- Mapped relations preserve directionality
- Higher-order constraints are respected
- No critical source elements are unmapped without justification
- The transfer does not violate known target domain physics/logic
Minimum Yield
| Metric | Floor |
|---|---|
| Analogies assessed | all candidates |
| Validated deep analogies | ≥2 |
| Transfer viability confirmed | ≥2 |
| Structural consistency verified | ≥2 |
Available SOPs
| SOP | Role |
|---|---|
| analogy-quality-assessment | Stage 1 — classify analogy depth |
| transfer-adaptation | Stage 2 — test and adapt transfer |
| structural-mapping | Stage 3 — verify structural consistency |
| abstraction-extraction | Support — re-abstract if mapping fails |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| analogy-quality-assessment | Assess analogy depth (surface/structural/systemic). Determines whether an analogy warrants transfer investment. |
| structural-mapping | Map source→target structural correspondences. Identifies corresponding, missing, and extra elements between domains. |
| transfer-adaptation | Adapt transferred principle to target problem constraints. Produces concrete adapted solutions from abstract principles. |