Sushi Go AI

Artificial intelligence algorithm that can determine optimal moves to take in a game of Sushi Go.
This project was created during my university studies at ANU in 2019 and has been transferred from the ANU GitLab server.
Read the technical report »

Table of Contents

1. About The Project
   • Built With
2. Usage
   • Prerequisites
   • Installation
   • How to play
3. Contact
4. Acknowledgements

About The Project

Using a recursive minimax algorithm and the functional programming language Haskell I created an AI that will play Sushi Go. Find the core algorithm in src/AI.hs. To find out how the algorithm has been implemented, read the report.

Built With

• Haskell Functional Programming Language

Usage

Prerequisites

• To run requires the Global Haskell Compiler and Cabal: https://www.haskell.org/platform/
• To develop use IntelliJ IDEA

Installation

1. Clone the repo

   git clone https://github.com/Tim-W-James/Sushi-Go-AI.git

2. Navigate into the root directory and run

   cabal build
   cabal run sushigo

How to play

• Sushi Go Rules (Sushi Go AI uses open hands): https://www.ultraboardgames.com/sushi-go/game-rules.php
• The hands and cards in play for each player are printed to the terminal
• Press the corresponding A-G key for the card you want to use
• The AI will then play its turn automatically

Contact

Email: tim.jameswork9800@gmail.com

Project Link: https://github.com/Tim-W-James/Sushi-Go-AI

Acknowledgements

• Australian National University for project skeleton including terminal interface