Run batch experiments by sweeping parameters across ranges. Configure the sweep below and launch — results are displayed as comparative charts.
How to Use Parameter Sweeps
Sweep Modes
- Compare All Scenarios — Runs all four origin-of-life scenarios with default parameters and compares their final complexity, diversity, and vesicle counts.
- Single Parameter Sweep — Varies one parameter (e.g., error rate) across multiple values in a chosen scenario to see its effect on outcomes.
- 2D Grid Sweep — Varies two parameters simultaneously, producing a matrix of results for deeper exploration.
Key Parameters
- Error Rate — Replication mutation rate. Higher = more variation but less fidelity.
- Reaction Radius — How close molecules must be to react. Larger = more reactions.
- Diffusion Scale — Molecular movement speed per step.
- Feedstock Rate — How fast new simple molecules are added to the world.
- Vesicle Threshold — Lipid count required to form a vesicle.
Interpreting Results
The bar chart shows final complexity score for each configuration. The table adds molecule count, vesicle count, and diversity index.
Look for:
- Which parameter values maximise complexity
- Whether there's an optimal "sweet spot" or trade-off
- Non-linear responses (e.g., too-high error rate destroying information)