xoshift-ai-agent

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xoshift-ai-agent

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An AI agent for playing XOShift with Python

xoshift-ai-agent 최신버젼 다운로드

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// repository documentation

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# XOShift AI Agent

## Introduction
This project implements an AI agent to play the board game **XOShift** using Python.  
The agent leverages a **minimax algorithm** with **alpha-beta pruning**, **iterative deepening**, and a **heuristic evaluation function** to make optimal moves within a set time limit.  
The repository also includes the XOShift game logic, a performance evaluation script, and a simple UI.

## Table of Contents
- [Introduction](#introduction)
- [Game Preview](#game-preview)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Project Structure](#project-structure)
- [License](#license)

## Game Preview

<img src="assets/game_preview.gif" alt="XOShift Game in action" width="600">
 
 Figure: The XOShift game environment with the AI agent making moves.
 
 Note: The GIF playback speed has been increased for better loading performance.

## Features
- Minimax search with alpha-beta pruning.
- Iterative deepening with time limit control.
- Heuristic-based board evaluation (mobility, threats, forks, open twos).
- Performance evaluation via `evaluate_performance.py`.
- Complete XOShift rules implemented in `game.py`.

## Installation
1. **Clone the repository**:
   ```bash
   git clone https://github.com/azizi-zahra/xoshift-ai-agent.git
   cd xoshift-ai-agent
   ```

2.  **Install dependencies**:
    
    ```bash
    pip install -r requirements.txt
    ```
    
3.  Ensure you are using **Python 3.10+**.

## Usage

-   **Run the game with UI**:
    
    ```bash
    python main.py
    ```
    
-   **Run performance evaluation**:
    
    ```bash
    python evaluate_performance.py
    ```
    
-   Adjust agent settings (time limit, depth) in `your_agent.py` under the **CONFIGURATION** section.

## Project Structure

-   `game.py` → XOShift game logic and rules.
    
-   `your_agent.py` → AI agent implementation (minimax + heuristics).
    
-   `evaluate_performance.py` → Script to test agent performance.
    
-   `ui.py` → Simple game interface.
    
-   `agent_loader.py`, `agent_utils.py`, `utils.py` → Supporting utilities.
    
-   `assets/` → Fonts and other resources.

## License
This project is licensed under the [MIT License](LICENSE).

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