Chinese Checkers Game AI

This project implements a Chinese Checkers game that can be played in various modes, including against different types of AI players and a human player via a graphical user interface (GUI). The game supports command-line arguments to specify the player types and, for AI players using the Minimax algorithm, the depth of the search.

Installation

Before running the game, ensure you have Python installed on your system. This game has been tested with Python 3.12+.

Clone the repository to your local machine:

git clone https://github.com/Zedrichu/Chinese-Checkers-AI.git
cd chinese-checkers

Usage

To start the game, navigate to the project directory and run main.py with Python, specifying the options for the first and second players.

python main.py --first-player <player_type> --second-player <player_type> [options]

Player types

• human: A human player using the graphical user interface.
• random: An AI player that chooses moves randomly.
• nonrepeatrandom: An AI player that chooses moves randomly without repeating the last move.
• minimax: An AI player that uses the Minimax algorithm with optional depth specification.

Options

• --first-minimax-depth <depth>: Specifies the depth of the Minimax search for the first player. Only required if the first player is minimax. Default is 6.
• --second-minimax-depth <depth>: Specifies the depth of the Minimax search for the second player. Only required if the second player is minimax. Default is 6.

Examples

Start a game with a human player against a Minimax AI player with a depth of 4:

python main.py --first-player human --second-player minimax --second-minimax-depth 4

Start a game between a Minimax AI player with a default depth of 6 and a standard random AI player:

python main.py --first-player minimax --second-player random

Project Completed in Course 02180 Introduction to Artificial Intelligence - Technical University of Denmark