# Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass

## TL;DR

This paper surveys AI techniques for card games, focusing on their application to Swiss Jass, highlighting current methods, challenges, and potential for future research in this culturally significant game.

## Contribution

It provides the first comprehensive overview of AI methods for Jass and discusses their adaptation, serving as a starting point for researchers interested in this specific game.

## Key findings

- AI agents currently do not outperform top human players in Jass
- Overview of state-of-the-art AI methods for card games
- Discussion of challenges and future directions for Jass AI

## Abstract

In the last decades we have witnessed the success of applications of Artificial Intelligence to playing games. In this work we address the challenging field of games with hidden information and card games in particular. Jass is a very popular card game in Switzerland and is closely connected with Swiss culture. To the best of our knowledge, performances of Artificial Intelligence agents in the game of Jass do not outperform top players yet. Our contribution to the community is two-fold. First, we provide an overview of the current state-of-the-art of Artificial Intelligence methods for card games in general. Second, we discuss their application to the use-case of the Swiss card game Jass. This paper aims to be an entry point for both seasoned researchers and new practitioners who want to join in the Jass challenge.