| name | domain-divergence |
| description | Scan and select maximally diverse source domains. Ensures creative search covers genuinely unrelated fields with high transfer potential. |
| execution | tactic |
| used-by | cross-domain-discovery, facet-bisociation, analogical-transfer, random-stimulus-entry, forced-bridge-construction, design-by-analogy |
Domain Divergence
Scan and select maximally diverse source domains to maximize creative potential.
Stages
Stage 1: Domain Scanning
Use domain-scanning SOP to identify candidate source domains. Cast a wide net across sciences, arts, engineering, biology, social systems, mathematics, and everyday life.
Stage 2: Random Paper Entry
Inject randomness via random-paper-entry SOP. Select papers from unexpected fields to break domain fixation and discover overlooked source domains.
Stage 3: Random Word Stimulus
Use random-word-stimulus SOP to generate additional domain candidates that pure search would miss. Random words point to concrete domains (e.g., "coral" → marine biology → reef self-organization).
Stage 4: Evaluate Diversity
Assess the collected domains for genuine diversity:
- No two domains should share the same parent discipline
- Domains should span at least 3 of: natural science, social science, engineering, arts, mathematics, everyday life
- Each domain must have identifiable transfer potential to the target problem
Minimum Yield
| Metric | Floor |
|---|
| Domains scanned | ≥8 |
| Unrelated domains identified | ≥3 |
| Domains with transfer potential | ≥3 |
| Discipline categories covered | ≥3 |
Available SOPs
| SOP | Role |
|---|
| domain-scanning | Stage 1 — systematic domain search |
| random-paper-entry | Stage 2 — random paper as domain pointer |
| random-word-stimulus | Stage 3 — random word as domain pointer |
| abstraction-extraction | Stage 4 — verify transfer potential via abstraction |
| analogy-quality-assessment | Stage 4 — assess structural similarity depth |
