concept-blending

name	concept-blending
description	Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space
execution	strategy
used-by	combinatorial-creativity

Concept Blending

Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space. Produce novel concepts by selectively projecting structure from two input mental spaces into a blended space that develops emergent structure.

State Ledger

Resource	Target	Current	%
web-search	25	0	0%
web-research	10	0	0%
paper-overview	30	0	0%
paper-search	20	0	0%
paper-research	10	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
combination-mapping	Enumerate blend dimensions and viable combinations
blend-construction	Construct complete 4-space blends with emergent structure
emergence-detection	Detect emergent properties in completed blends

Available SOPs

SOP	Role
input-space-construction	Build input spaces for source concepts
generic-space-extraction	Extract shared abstract structure
blend-composition	Compose new connections in blended space
blend-completion	Complete blend with background knowledge
blend-elaboration	Run blend as mental simulation
vital-relation-mapping	Map vital relations between concepts
combinatorial-synthesis	Synthesize blending outputs

Execution Guidance

1. Select Input Concepts: Choose two concepts with rich internal structure
2. Build Input Spaces: Use input-space-construction to elaborate each concept's elements, relations, and attributes
3. Extract Generic Space: Use generic-space-extraction to find shared abstract structure
4. Map Vital Relations: Use vital-relation-mapping to identify compression opportunities
5. Compose Blend: Use blend-composition to selectively project and create new connections
6. Complete Blend: Use blend-completion to recruit background knowledge
7. Elaborate Blend: Use blend-elaboration to run the blend as simulation and discover emergent structure