yogsoth-ai Facet Bisociation
Bridge two unrelated thinking matrices via Koestler bisociation — the creative act occurs at the intersection of two self-consistent but habitually incompatible frames of reference.
State Ledger
| Resource | Target | Current | % |
|---|---|---|---|
| web-search | 30 | 0 | 0% |
| web-research | 10 | 0 | 0% |
| paper-overview | 25 | 0 | 0% |
| paper-search | 15 | 0 | 0% |
| paper-research | 5 | 0 | 0% |
HARD-GATE
Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.
Available Tactics
| Tactic | Role |
|---|---|
| analogy-extraction | Extract structural principles from each matrix |
| domain-divergence | Ensure the two matrices are genuinely unrelated |
| bridge-validation | Validate that the bisociation produces deep insight, not surface pun |
Available SOPs
| SOP | Role |
|---|---|
| domain-scanning | Identify candidate thinking matrices |
| abstraction-extraction | Abstract the logic of each matrix |
| bisociation-network-construction | Build the collision network between matrices |
| analogy-quality-assessment | Assess depth of the bisociative connection |
| cross-domain-synthesis | Synthesize bisociation outputs into ideas |
Execution Guidance
- Select Matrix A: Identify the problem's native frame of reference (its habitual logic)
- Select Matrix B: Find a genuinely unrelated frame via domain-divergence tactic
- Abstract both: Extract the operating logic of each matrix using abstraction-extraction
- Force collision: Identify points where the two logics intersect or contradict
- Extract insight: At each collision point, derive a novel perspective or mechanism
- Build network: Use bisociation-network-construction to map all collision points
- Validate depth: Use bridge-validation to confirm insights are structural, not superficial
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| bridge-validation | Validate analogy depth and transfer viability. Ensures only deep structural analogies (not surface-level similarities) proceed to transfer. |
| domain-divergence | Scan and select maximally diverse source domains. Ensures creative search covers genuinely unrelated fields with high transfer potential. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| abstraction-extraction | Extract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms. |
| bisociation-network-construction | Build multi-domain bridging concept network. Creates a network of collision points between multiple thinking matrices. |
| cross-domain-synthesis | Synthesize all cross-domain findings into a structured idea report. Integrates outputs from all strategies and SOPs. |