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facet-bisociation

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Bridge two unrelated thinking matrices via Koestler bisociation. Identify independent frames of reference and force collision to produce creative insight.

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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

ResourceTargetCurrent%
web-search3000%
web-research1000%
paper-overview2500%
paper-search1500%
paper-research500%

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

TacticRole
analogy-extractionExtract structural principles from each matrix
domain-divergenceEnsure the two matrices are genuinely unrelated
bridge-validationValidate that the bisociation produces deep insight, not surface pun

Available SOPs

SOPRole
domain-scanningIdentify candidate thinking matrices
abstraction-extractionAbstract the logic of each matrix
bisociation-network-constructionBuild the collision network between matrices
analogy-quality-assessmentAssess depth of the bisociative connection
cross-domain-synthesisSynthesize bisociation outputs into ideas

Execution Guidance

  1. Select Matrix A: Identify the problem's native frame of reference (its habitual logic)
  2. Select Matrix B: Find a genuinely unrelated frame via domain-divergence tactic
  3. Abstract both: Extract the operating logic of each matrix using abstraction-extraction
  4. Force collision: Identify points where the two logics intersect or contradict
  5. Extract insight: At each collision point, derive a novel perspective or mechanism
  6. Build network: Use bisociation-network-construction to map all collision points
  7. 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.

TacticWhen to use
bridge-validationValidate analogy depth and transfer viability. Ensures only deep structural analogies (not surface-level similarities) proceed to transfer.
domain-divergenceScan 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.

SOPWhen to use
abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
bisociation-network-constructionBuild multi-domain bridging concept network. Creates a network of collision points between multiple thinking matrices.
cross-domain-synthesisSynthesize all cross-domain findings into a structured idea report. Integrates outputs from all strategies and SOPs.