Artificial intelligence based on MCDM for the board game of the Royal Game of Ur
by Tomáš Roskovec; Petr Chládek; Daniel Hejplík; Štĕpán Mudra; Marek Šulista
International Journal of Applied Decision Sciences (IJADS), Vol. 16, No. 5, 2023

Abstract: The Royal Game of Ur is an ancient board game with random elements and strategies. We introduce two methods of designing simple but effective artificial intelligence (AI) that performs well in this game against both human players and chosen AI available online. We present both the description of the development of AI and the performance results. The advantage and originality of the method is the easy evaluation of a player's move based in such a way that a simple program or human player may follow the strategy as a guideline. The multiple-criteria decision-making methods in use are the lexicographic semi-order method and the weighted sum method. The weights and ordering of criteria are set by automatic testing software based on an evolutionary algorithm for searching the optimum.

Online publication date: Fri, 01-Sep-2023

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