Minesweeper AI Solver

A Python-based AI agent designed to play the classic Minesweeper game using logical reasoning to deduce safe moves, identify mines, and update knowledge dynamically.

Setup Instructions

Prerequisites

1. Ensure you have Python 3.7 or later installed on your system.
2. Install all dependencies listed in the requirements.txt file.

Installation

1. Clone the repository to your local machine:

   git clone https://github.com/yhnx/minesweeperAIBot
   cd minesweeperAIBot
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

Running the Program

1. Start the Minesweeper AI:

   python3 runner.py
   

2. The default board size is 8x8 with 8 mines. You can customize the grid size and number of mines by editing the code in runner.py:

   HEIGHT = 8
   WIDTH = 8
   MINES = 8
   

   Replace 8 with your desired dimensions and mine count.

Customization

• Grid Size: Modify the HEIGHT and WIDTH parameters.
• Number of Mines: Adjust the MINES parameter.

Notes

• This project is primarily intended as a demonstration of knowledge based AI reasoning techniques.
• Ensure that the grid size is sufficiently large compared to the number of mines for optimal gameplay experience.

Game Play images

Enjoy exploring the logical prowess of the Minesweeper AI Solver! 🤖