yogsoth-ai Biological Function Mapping
Map technical functions to biological systems via biologize→discover→model pipeline.
Stages
Stage 1: Problem Biologization
Translate the technical problem into a biological function need statement using problem-biologization SOP. Frame in terms of what function nature must achieve, not how.
Stage 2: Organism Discovery
Search for organisms that solve the biologized problem using organism-discovery SOP. Identify champion organisms across multiple phyla/kingdoms for diversity.
Stage 3: Functional Modeling
For each promising organism, build a functional model (energy/matter/information flows) using functional-model-biology SOP. Identify the mechanism that achieves the target function.
Minimum Yield
| Metric | Floor |
|---|---|
| Biological function statements | ≥2 |
| Organisms discovered | ≥5 |
| Biological systems mapped to technical functions | ≥3 |
| Functional models completed | ≥3 |
Available SOPs
| SOP | Role |
|---|---|
| problem-biologization | Stage 1 — translate technical→biological |
| organism-discovery | Stage 2 — find champion organisms |
| functional-model-biology | Stage 3 — build functional models |
| biological-strategy-extraction | Post — extract transferable strategies |
| web-search | Support — search for biological solutions |
| paper-overview | Support — find academic biology sources |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| functional-model-biology | Build biological system functional model. Map energy, matter, and information flows. |
| organism-discovery | Find organisms solving similar problems. Search across kingdoms for biological champions. |
| problem-biologization | Restate technical problem as biological question. Translate engineering challenges into nature's language. |