https://github.com/alextraveylan/pikomino
Simulate pikomino_game, and find the beter strategy
https://github.com/alextraveylan/pikomino
Last synced: 3 months ago
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Simulate pikomino_game, and find the beter strategy
- Host: GitHub
- URL: https://github.com/alextraveylan/pikomino
- Owner: AlexTraveylan
- License: mit
- Created: 2023-09-13T20:22:14.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-21T21:13:32.000Z (over 1 year ago)
- Last Synced: 2025-01-13T10:51:01.666Z (5 months ago)
- Language: Python
- Size: 36.1 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Pikomino Simulation Game Model
Welcome to the Pikomino Simulation Game Model repository. This project is a digital simulation of the board game Pikomino (also known as "Heckmeck am Bratwurmeck" in German) created by Reiner Knizia.
## Table of Contents
- [Description](#description)
- [Installation](#installation)
- [Usage](#usage)
- [Contribute](#contribute)
- [License](#license)
## Description
This simulation allows players to play the game digitally and offers an AI opponent. The AI is designed with basic strategies to simulate a natural player's decision-making processes during gameplay.
**Game Overview**: Players aim to collect dominos by rolling dices. The player with the most worm symbols at the end of the game wins.
## Installation
1. Clone this repository:
```bash
git clone [email protected]:AlexTraveylan/Pikomino.git
```
2. Navigate to the project directory:
```bash
cd pikomino-simulation-game-model
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## Usage
1. Run the main simulation file:
```bash
python main.py
```
2. Follow the on-screen prompts to play the game against the AI or simulate AI vs AI games.
## Contribute
If you'd like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.
1. Fork the project.
2. Create a new branch (`git checkout -b feature_branch`)
3. Commit your changes (`git commit -am 'Add some features'`)
4. Push to the branch (`git push origin feature_branch`)
5. Open a Pull Request.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.