yogsoth-ai Minimal Change Search Tactic
Find the smallest perturbation that flips the conclusion — closer flip-points mean higher fragility.
Orchestration
- causal-claim-extraction identifies the conclusion to test
- factor-enumeration generates candidate change dimensions
- counterfactual-scenario-construction builds scenarios with graduated changes
- flip-point-detection binary-searches for the minimal change that flips
- fragility-measurement computes distance from actuality to flip-point
- Repeat for each dimension within budget
- Report: nearest flip-point, fragility index, most vulnerable dimension
Search Strategy
- Start with large changes (clearly flips or clearly holds)
- Binary search between hold/flip boundary
- Record the minimal change magnitude per dimension
- Fragility = 1 / (distance to nearest flip-point)
Subagents Dispatched
- causal-claim-extraction (conclusion identification)
- factor-enumeration (dimension generation)
- counterfactual-scenario-construction (graduated scenarios)
- flip-point-detection (binary search)
- fragility-measurement (distance computation)
Termination Conditions
- All dimensions searched within budget
- Flip-point found with distance < threshold (extremely fragile)
- No flip-point found after maximum search depth (robust)
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| causal-claim-extraction | Extract all causal claims (X causes Y, X leads to Y, X enables Y) from an artifact, producing a structured list of cause-effect pairs. |
| counterfactual-scenario-construction | Construct precise, internally consistent counterfactual scenarios where specified factors are altered, then reason about the resulting conclusion. |
| factor-enumeration | List all key factors, conditions, and assumptions that support or enable the artifact's conclusion. |
| flip-point-detection | Find the minimal change magnitude along a dimension that causes the conclusion to flip from true to false. |
| fragility-measurement | Compute a fragility index from flip-point distances and degradation scores, summarizing how robust the conclusion is. |