analogy-extraction

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Extract transferable structural principles from source domains. Orchestrates source identification → abstraction → structural mapping → transfer validation.

AI & Automation 331 stars 25 forks Updated today Apache-2.0

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# Analogy Extraction Extract transferable structural principles from source domains. ## Stages ### Stage 1: Source Identification Identify candidate source domains using domain-scanning SOP. Evaluate each for structural similarity depth (surface/structural/systemic). ### Stage 2: Abstraction For each promising source, extract the abstract principle using abstraction-extraction or biological-strategy-extraction SOP. Strip domain-specific details to reveal the transferable mechanism. ### Stage 3: Structural Mapping Map source structure to target domain. Identify: corresponding elements, missing elements (gaps), extra elements (opportunities). Use structural-mapping SOP. ### Stage 4: Transfer Validation Assess mapping quality: Is the analogy surface-level (shared labels) or deep (shared relational structure)? Use analogy-quality-assessment SOP. Only deep analogies warrant transfer. ## Minimum Yield | Metric | Floor | |--------|-------| | Source domains scanned | ≥5 | | Abstractions extracted | ≥3 | | Structural mappings completed | ≥3 | | Validated deep analogies | ≥2 | ## Available SOPs | SOP | Role | |-----|------| | domain-scanning | Stage 1 — find candidate source domains | | web-search | Stage 1 — supplement domain search | | paper-overview | Stage 1 — find academic analogies | | abstraction-extraction | Stage 2 — extract abstract principles | | structural-mapping | Stage 3 — map source→target structure | | analogy-quality-assessment | Stage 4 — validate mappi...

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Author
yogsoth-ai
Repository
yogsoth-ai/de-anthropocentric-research-engine
Created
4 months ago
Last Updated
today
Language
HTML
License
Apache-2.0

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