AI Flower Sales Predictor with JADE

Description

This project implements an agent-based system to predict future sales for the XYZ Flower Export Company using Genetic Algorithms (AG). The aim is to monitor a client's sales to maximize economic return over the next 20 weeks.

Project Structure

The project is structured around several agents interacting with each other to make predictions and sales decisions based on these forecasts. The involved agents are:

• AH1: Maximizes an objective function using a genetic algorithm.
• AG1: Passes the maximum value found by AH1 to AG2.
• AG2: Decides whether to proceed with the sale based on the value received from AG1.
• AG3: Acts according to the instructions from AG2 and AG4 to carry out or stop the sale.
• AG4: Evaluates the client's debt and advises on the sale.

Technologies Used

• Java: The main programming language.
• JADE (Java Agent Development Framework): Used for implementing and managing agents.

Getting Started

Prerequisites

• Java JDK 8 or higher.
• JADE Framework.

Installation and Execution

1. Clone the repository to your local machine:

Installation

Clone the repository using:

git clone https://github.com/MaxCar31/AI-FlowerExportSalesPrediction-JADE-Intelligent-Agents.git

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

• Special thanks to Ing. Henry Paz Arias MSc. for the guidance and support in developing this project.