Monte Carlo Parameter Sweep

Explore simulation outcomes across parameter space with comprehensive real-time analysis

Enhanced Parameter Sweep Configuration

Random Seeds

Start Seed

Seed Count

Seeds: 42000 to 42009

Parameter Sweep Configuration

Government Action Frequency(0.1 - 4)

How often government can intervene (actions/month)

Social Adaptation Rate(0.1 - 2)

How quickly society adapts to technological change

AI Coordination Multiplier(0.8 - 3)

Efficiency of AI agents working together

Economic Transition Rate(0.3 - 3)

Speed of progression through economic stages

Scenario Mode

Historical vs unprecedented risk modeling

Threshold Scenario

Extinction threshold uncertainty model

Simulation Duration

How long to run each simulation

Total Simulations10

Estimated time: ~1 minutes (5 concurrent workers)

Parameter Sweep: Each selected parameter will be tested with all specified values. The total number of simulations is the product of seed count and all parameter value combinations. Start with a small sweep to test, then expand for comprehensive analysis.

Getting Started

The Monte Carlo parameter sweep explores simulation outcomes by running multiple simulations with varying parameters and random seeds.

Workflow:

Select parameters to sweep (enable checkboxes, add values)
Set seed count for statistical variance
Click "Start Sweep" to begin batch execution
Monitor progress in real-time on the Progress tab
Analyze comprehensive results on the Analysis tab

Total simulations = (seeds) × (param1 values) × (param2 values) × ...

Enhanced Configuration

Access to all simulation parameters including:

Core simulation dynamics (government, social, economic, AI coordination)
Alignment dynamics models (static, drift, epicycles, unknowable)
AI suffering and consciousness parameters
Collective evolution thresholds
Crisis cascade multipliers and recovery rates
Scenario modes and threshold uncertainties