yogsoth-ai Blend Construction
Construct complete 4-space blends with emergent structure following the Fauconnier-Turner conceptual integration network model.
Stages
Stage 1: Input Space Construction
Build rich input spaces for both source concepts using input-space-construction SOP. Each space must include elements, relations, attributes, and internal logic.
Stage 2: Generic Space Extraction
Extract the shared abstract structure from both input spaces using generic-space-extraction SOP. The generic space captures what the two inputs have in common at the most abstract level.
Stage 3: Blend Composition
Compose the blended space by selectively projecting structure from both inputs and creating new connections using blend-composition SOP. The blend must develop emergent structure not present in either input.
Minimum Yield
| Metric | Floor |
|---|---|
| Complete 4-space blends | ≥2 |
| Emergent structures per blend | ≥1 |
| Vital relations compressed | ≥3 per blend |
| Novel connections in blend | ≥2 per blend |
Available SOPs
| SOP | Role |
|---|---|
| input-space-construction | Stage 1 — build input spaces |
| generic-space-extraction | Stage 2 — extract shared structure |
| blend-composition | Stage 3 — compose blended space |
| blend-completion | Post-Stage 3 — recruit background knowledge |
| vital-relation-mapping | Pre-Stage 1 — map vital relations to guide projection |