👨‍💻 Agent-Based System

1️⃣ Project Overview

The Agent-Based System is a software framework designed to simulate and analyze interactions between autonomous agents in a dynamic environment. This system enables modeling of real-world scenarios such as traffic simulations, market dynamics, and distributed computing.

2️⃣ Features

• ✅ Multi-Agent Interaction
• ✅ Adaptive Decision Making
• ✅ Scalable & Modular Architecture
• ✅ Real-Time Simulation
• ✅ Visualization & Analytics

3️⃣ Technologies Used

• 🐍 Python
• 🏛️ JADE (Java Agent Development Framework)
• 🌐 Flask (For Web-Based Agent Communication)
• 🗃️ MySQL (For Data Storage)
• 📊 Matplotlib & Seaborn (For Data Visualization)

4️⃣ Project Structure

📁 Agent-Based-System
 ├── 📂 src            # Source Code
 ├── 📂 docs           # Documentation
 ├── 📂 tests          # Unit Tests
 ├── 📂 data           # Data Files
 ├── README.md         # Project Documentation
 └── requirements.txt  # Dependencies

5️⃣ Installation

1. Clone the repository:

   git clone https://github.com/SE-LAPS/Agent-Based-System.git

2. Navigate to the project directory:

   cd agent-based-system

3. Install dependencies:

   pip install -r requirements.txt

6️⃣ Usage

1. Run the agent system:

   python main.py

2. Open the web interface (if applicable):

   http://localhost:5000

7️⃣ Testing

Run the test suite to ensure everything is working correctly:

pytest tests/

8️⃣ Contributing

Contributions are welcome! Feel free to fork this repo and submit pull requests. Follow these steps:

1. Fork the repo
2. Create a new branch (feature-new-agent)
3. Commit your changes
4. Push to your branch and submit a PR

9️⃣ License

This project is licensed under the MIT License.

🔟 Contact

🌍 Website: Website