The Exploration and Analysis of Mancala from an AI Perspective

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

The Student Movement Volume 105 Issue 7: Please Pass the Plexiglass: Friends Unite for Shielded Bite

NEWS Receiving the COVID-19 Vaccine, Interviewed by TJ Hunter Andrews University Choral Performs “Celebrating the Light” Concert, Jenae Rogers AUSA Hosts Sabbath Experience at PMC, Caralynn Chan Dr. Kizzmekia Shanta Corbett Gives Lecture on the Safety and Effectiveness of COVID-19 mRNA Vaccines, Terika Williams Loving in the Grey: This Semester’s First In-Person Chapel, Kristin Ferrer PULSE Holilday Recap, Gloria Oh New Year’s Aspirations, Wambui Karanja The Wellness Column: No Longer Sitting Ducks, Jessica Rim Winter Break Endeavors, by HeeYun Oh HUMANS AU Christmas Album Interview, Interview by Abigail Lee My Experience in COVID Isolation, Interview by Terika Williams Spring Semester 2021 Club Events, Interview by Celeste Richardson ARTS & ENTERTAINMENT Creative Spotlight: Brent LaPorre, Interviewed by Megan Napod Current February Favorites, Megan Napod Long Live the King, Joshua Deonarine IDEAS Insurrection, Impeachment, and Inauguration: Three Wednesdays in January, Solana Campbell What We Learned from 2020 and Are Keeping in 2021, Sion Kimhttps://digitalcommons.andrews.edu/sm-105/1000/thumbnail.jp

An Artificial Intelligence Approach to Mancala

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 a number of mancala variations, but it also attempts to extract applications that may have relevance to other “game-solving” AI problems.Thank you for your interest in the Artificial Intelligence Approach to Mancala. We regret this session is no longer available. We invite you to engage with some of our other students during this time