yogsoth-ai Combination Mapping
Systematically enumerate parameter dimensions and generate viable combinations.
Stages
Stage 1: Parameter Extraction
Identify independent parameters of the problem space using parameter-identification SOP. Verify orthogonality.
Stage 2: Value Enumeration
For each parameter, enumerate 3-5 meaningful values including boundary and extreme values. Use value-enumeration SOP or direct generation.
Stage 3: Compatibility Assessment
Evaluate pairwise compatibility of value combinations. Flag logically/empirically/normatively inconsistent pairs. Use consistency-pair-evaluation SOP if available.
Stage 4: Path Generation
Generate viable combination paths through the consistent solution space. Prioritize unexplored regions (white space). Use path-generation or recombination-generation SOP.
Stage 5: Synthesis
Evaluate generated combinations for novelty and feasibility. Synthesize into structured ideas.
Minimum Yield
| Metric | Floor |
|---|---|
| Parameters identified | ≥4 |
| Values per parameter | ≥3 |
| Combinations evaluated | ≥10 |
| Viable novel combinations | ≥5 |
Available SOPs
| SOP | Role |
|---|---|
| parameter-identification | Stage 1 — decompose problem into parameters |
| value-enumeration | Stage 2 — enumerate parameter values |
| consistency-pair-evaluation | Stage 3 — check pairwise compatibility |
| path-generation | Stage 4 — generate combination paths |
| recombination-generation | Stage 4 — alternative combination approach |
| constraint-injection | Stage 3 — inject constraints to reduce space |
| novelty-scoring | Stage 5 — score combinations |
| idea-synthesis | Stage 5 — synthesize into concepts |
| saturation-detection | Post — check if space is exhausted |