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.
Recommended Citation
Hunter, Trevon J., "The Exploration and Analysis of Mancala from an AI Perspective" (2021). Honors Theses. 257.
https://dx.doi.org/10.32597/honors/257/
https://digitalcommons.andrews.edu/honors/257
Subject Area
Artificial Intelligence; Mancala (Game)
Presentation Record URL
https://digitalcommons.andrews.edu/honors-undergraduate-poster-symposium/2021/symposium/17/
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
DOI
https://dx.doi.org/10.32597/honors/257/