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Digital Publisher

Digital Commons at St. Mary's University

Publication Date

Spring 2025

Keywords

Chess; game; network machine learning algorithm; artificially intelligent tutors

Description

Chess is a highly strategic, complex, and long-form game that has been popular for many centuries. Due to the aforementioned complexities of this game, new players often have a hard time learning how to effectively and successfully play. With the recent developments in machine learning algorithms, new opportunities arise to create artificially intelligent tutors - not only for chess, but for all subjects. This project aims to develop a product which investigates the integration of an artificially intelligent “coach”, named Chesster, to train the player, which is trained on a neural network machine learning algorithm.

Format

pdf

City

San Antonio, Texas

Exploring Neural Networks for Developing a Chess Learning Platform with Integrated AI Agent

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