5-Step CAS Research Workflow
From problem definition to results analysis - AI-guided at every step
1
Problem Definition
2
Model Framework
3
Parameter Calibration
4
Simulation
5
Results Analysis
Step 1: Problem Definition
Describe your Complex Adaptive Systems research question. The CAS agent will automatically identify system elements and construct a model framework.
Quick Select Examples
💡 Tip: Just describe the application domain or research question. The AI agent will automatically complete the system modeling.
Step 2: Model Framework Confirmation
Review and confirm the AI-generated CAS model framework, including system boundaries, key agents, and interaction relationships.
Complete Step 1 to view framework
Step 3: Parameter Calibration
Configure simulation parameters, initial conditions, and model calibration to ensure alignment with actual system characteristics.
Default Simulation Parameters
Simulation iterations
Number of agents
Neighbor detection radius
🤖 AI Smart Parameter Optimization
Based on sensitivity analysis, AI will recommend optimal parameter settings.
Step 4: Simulation Experiment
Run multi-agent simulation (MAS), observe system dynamic evolution, and capture emergent phenomena.
Simulation Controls
Time Series
Distribution
Step 5: Results Analysis
Generate final analysis report based on simulation data and emergence detection results.
📊 Generate Comprehensive Research Report
Complete simulation to generate report