Tablut Player for University Competition

This repository contains a Python-based player developed for the Tablut Competition held as part of the course Fundamentals of Artificial Intelligence and Knowledge Representation at the University of Bologna, Academic Year 2024/2025.

The project involves creating an AI player for the game Tablut. We implemented an iterative alpha-beta min-max algorithm for decision-making, transposition tables to avoid redundant computations, the history heuristic to optimize move ordering, and various features to evaluate the board and determine game strategies.

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Getting Started

Prerequisites

Before running the player, ensure you have the following:

1. Python 3.x installed.
2. The Tablut Competition server is running. You can find the server repository here:
   AGalassi/TablutCompetition.

Setup

1. Clone this repository:

   git clone https://github.com/conocirone/GiulioJr.git
   cd GiulioJr

2. Follow the instructions in the TablutCompetition server repository to start the server.

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How to Run the Player

To execute the player, use the following command:

python main.py --team [WHITE|BLACK] --timeout TIMEOUT --ip IP

Parameters:

• --team [WHITE|BLACK]: Specifies which side the player will represent.
• --timeout TIMEOUT: Time (in seconds) allowed for the player's move decision.
• --ip IP: IP address of the running server.

Example:

If you want to run the player as the WHITE team, with a timeout of 60 seconds, connecting to a server at 127.0.0.1, the command will be:

python main.py --team WHITE --timeout 60 --ip 127.0.0.1

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Authors

• Giulio Petrozziello: giulioPetroz
• Gio Formichella: Gio-Formichella
• Cono Cirone: conocirone

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License

This project is developed as part of a university competition and is intended for educational purposes.