The Semantics of Kalah Game
Kaninda Musumbu (LaBRI)

TL;DR
This paper explores the development of an AI-driven Kalah game, focusing on its strategic complexity rooted in mathematical theories, and demonstrates how AI can enable a computer to select optimal moves.
Contribution
It introduces an AI approach to model and analyze the complex strategies of Kalah, a traditional African game, based on its mathematical foundations.
Findings
AI can effectively determine optimal moves in Kalah.
The game’s strategies are deeply rooted in mathematical theories.
The approach enhances understanding of strategic decision-making in traditional games.
Abstract
The present work consisted in developing a plateau game. There are the traditional ones (monopoly, cluedo, ect.) but those which interest us leave less place at the chance (luck) than to the strategy such that the chess game. Kallah is an old African game, its rules are simple but the strategies to be used are very complex to implement. Of course, they are based on a strongly mathematical basis as in the film "Rain-Man" where one can see that gambling can be payed with strategies based on mathematical theories. The Artificial Intelligence gives the possibility "of thinking" to a machine and, therefore, allows it to make decisions. In our work, we use it to give the means to the computer choosing its best movement.
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Taxonomy
TopicsArtificial Intelligence in Games
