Welcome to our Wumpus World AI project! This repository contains the code and resources for developing an AI program that navigates and solves the Wumpus World scenario. This project is a collaborative effort by Rakibul Islam ([email protected]), Sazzad Hossain ([email protected]), and Md. Yasir Arafat Araf ([email protected]).

The Wumpus World is a classic AI problem where an agent must navigate through a cave, avoiding hazards like bottomless pits and a deadly Wumpus while attempting to find gold. Our project involves developing an AI agent that can simulate the navigation of a logical agent in a given environment, utilizing logical representation and inference.

• Logic-based representation of the environment and knowledge base
• Logical inference using resolution, forward chaining, and backward chaining
• Random and pre-specified environment generation
• Loop detection and avoidance mechanism
• Interactive user interface to visualize agent actions and knowledge base
• Collaboration through a Git repository

• Sazzad Hossain - BSSE1207
• Md. Rakibul Islam - BSSE1210
• Md. Yasir Arafat Araf - BSSE1220

We would like to express our gratitude to Dr. [Instructor's Name], Associate Professor at the Institute of Information Technology, University of Dhaka, for guiding us through this project and providing valuable insights.

Feel free to customize this README.md file with additional project-specific details, instructions, or any other information relevant to your Wumpus World AI project.