Date of Award

4-5-2021

Document Type

Honors Thesis

Department

Engineering & Computer Science

First Advisor

Rodney Summerscales

Abstract

Through the study of popular games such as Chess and Go, countless artificial intelligence (AI) research has been conducted in an attempt to create algorithms equipped for adversarial search problems. However, there are still a plethora of avenues that offer insight into further development. Mancala is traditionally a two-player board game that originated in the East and offers a unique opponent-based playing experience. This thesis not only attempts to create a competitive AI algorithm for mancala games by analyzing the performance of several different algorithms on this classic board game, but it also attempts to extract applications that may have relevance to other “game-solving” AI problems.

Subject Area

Artificial Intelligence; Mancala (Game)

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