CMDR: an artificial intelligence card game application using prominent Philippine historical figures
Trading card games have long been a popular form of entertainment in the Philippines, attracting people of every demographic and age. Due to their versatility, card games have drawn increased attention and have taken on new significance in settings outside of traditional play, such as e-sports and education. This project attempts to capitalise on this popularity by developing an AI card game application that employs neural networks and is meant to be both amusing and informative. The major goal was to provide an entertaining and engaging platform where people of all ages may investigate and learn about Philippine history via engaging activities. By incorporating well-known historical figures and occasions from Filipino history into the card game format, the program aims to improve historical accessibility and enjoyment. This AI-driven application's usage of neural networks enables dynamic gaming that adjusts to the player's skill level, making it more demanding and individualised. This raises user engagement and offers a way to investigate how artificial intelligence and gaming connect with education. Furthermore, this project's research and development will serve as a model for enhancing AI capabilities and card game gaming mechanics generally. This study gives important insights into viable tactics for combining AI with card games, particularly in educational contexts.
Authors
- Criselle J. Centeno
- Ariel Antwaun Rolando Sison
- Javier Nieto Diego
- Sebastian A. F. Belgica
- Gabriel O. M. Cazon
- Caleb K. Table
Institutions
- University of the City of Manila (PH)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1049/icp.2025.0273
- Primary Topic
- Artificial Intelligence in Law
- Type
- article
- Field-Weighted Citation Impact
- 0.00