Survey of artificial intelligence for card games and its application to the Swiss game Jass

Niklaus, Joël; Alberti, Michele; Pondenkandath, Vinaychandran; Ingold, Rolf; Liwicki, Marcus (14 June 2019). Survey of artificial intelligence for card games and its application to the Swiss game Jass In: 2019 6th Swiss Conference on Data Science (SDS). Bern, Switzerland. June 14, 2019. 10.1109/SDS.2019.00-12

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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.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	Business School > Institute for Public Sector Transformation Business School > Institute for Public Sector Transformation > Data and Infrastructure Business School
Name:	Niklaus, Joël0000-0002-2779-1653; Alberti, Michele; Pondenkandath, Vinaychandran; Ingold, Rolf and Liwicki, Marcus
Language:	English
Submitter:	Joël Niklaus
Date Deposited:	07 Aug 2023 15:54
Last Modified:	07 Aug 2023 15:54
Publisher DOI:	10.1109/SDS.2019.00-12
Related URLs:	Organisation
ARBOR DOI:	10.24451/arbor.19685
URI:	https://arbor.bfh.ch/id/eprint/19685