History plays a vital role in knowing their past and thus improving and not making the same mistakes in the future. However, history teaching has some shortcomings, such as memorizing history without interpretation, which is boring, uncomfortable, and non-interactive when students learn from books and articles. This work aims to cover this gap with the development of Battle Card, a card game based on the Inca empire and implemented with artificial intelligence algorithms, such as the seek and flee and arrive movement algorithms, the algorithm Depth-First Search, and a state machine. The Scrum framework was applied to manage the project and maintain constant communication with the development team. In addition, Phaser.io was used as a framework for game development on desktop and mobile platforms. Tests were carried out, and the results were finally evaluated through game quality metrics. In conclusion, a fun app about the history of the Incas was obtained with an acceptable level of playability that educators and interested parties can use.
|Title of host publication||Intelligent Computing - Proceedings of the 2022 Computing Conference|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||16|
|State||Published - 2022|
|Event||Computing Conference, 2022 - Virtual, Online|
Duration: 14 Jul 2022 → 15 Jul 2022
|Name||Lecture Notes in Networks and Systems|
|Conference||Computing Conference, 2022|
|Period||14/07/22 → 15/07/22|
Bibliographical notePublisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Artificial intelligence
- Card game