This project aims to simulate the economic interactions within a country, capturing the dynamics between various agents such as consumers, corporations, and government entities. The simulation will provide insights through interactive visualizations of economic data and results.
- To create a robust simulation of economic activities within a simulated environment.
- To visualize the economic impact of different agents and their interactions in real-time.
- Python: Main programming language for simulation.
- NumPy & Pandas: For numerical operations and data manipulation.
- Matplotlib/Plotly: For creating interactive and static visualizations.
- TensorFlow/PyTorch (Optional): For integrating machine learning components if required.
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├── data # Folder for sample datasets and inputs
├── docs # Documentation files and related material
├── src # Source files for the project
│ ├── agents.py # Defines the economic agents
│ ├── market.py # Handles market system and interactions
│ ├── analysis.py # For data collection and analysis
│ └── visualization.py # Scripts for data visualization
├── tests # Automated tests for the simulation components
├── LICENSE
└── README.md