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Extract shared abstract structure from two input spaces
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Basé sur la classification professionnelle SOC
Perform bisociation at multiple abstraction levels
Complete blend with background knowledge
Compose new connections in blended space
Construct complete 4-space blends with emergent structure. Orchestrates input-space-construction → generic-space-extraction → blend-composition.
Run blend as mental simulation
Combinatorial Creativity Campaign — produce emergent concepts via concept blending, multi-level bisociation, and function combination (Fauconnier-Turner)
| name | generic-space-extraction |
| description | Extract shared abstract structure from two input spaces |
| execution | subagent |
| prompt | ./prompt.md |
| input | two_input_spaces (object) |
| used-by | combinatorial-creativity, concept-blending, multi-level-bisociation |
Extract shared abstract structure from two input spaces — the generic space captures what both inputs have in common at the highest level of abstraction.
Subagent — spawned via subagent-spawning/spawn-agent skill.
Generic space extraction requires careful abstraction to find the deepest shared structure without over-generalizing. Benefits from dedicated analytical attention.
