Complexity Validation
Monitor and analyze scenario complexity validation based on peer-reviewed academic frameworks
Academic Framework
Complexity validation uses three peer-reviewed frameworks: Wood (1986) Component Complexity, Campbell (1988) Four Sources, and Liu & Li (2012) Ten-Dimension Model. All scenarios must pass validation before being stored in the database.
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LLM Model Comparison Experiment
Track rejection rates across different LLM models to determine which performs best for scenario generation
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Validated Scenarios
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Understanding Complexity Scores
- Simple (0-20): Single-step tasks with minimal dependencies and clear objectives.
- Moderate (20-50): Multi-step analysis with some interdependencies and moderate cognitive load.
- Complex (50+): Strategic synthesis requiring integration of multiple frameworks, high element interactivity.
Scores are calculated using weighted contributions from all three frameworks plus element interactivity analysis. The system ensures scenarios match their intended complexity tier before database storage.