Abstract
This Independent Study explored the development of a 3D fighting game incorporating Dynamic Difficulty Adjustment (DDA) to enhance player experience. The game was designed to analyze a player’s skill level and playstyle in real time, adjusting difficulty accordingly to maintain an engaging and balanced gameplay experience for players of varying skill levels.
The implementation focused on key aspects of game development, including game design theory, AI modeling, and the integration of DDA algorithms. The game was developed using Unity and featured a 3D movement system, and AI opponents that dynamically adapted their difficulty.
This study contributed to the intersection of game design and artificial intelligence by demonstrating a practical application of DDA in fighting games. The project laid the groundwork for further exploration of adaptive systems in interactive entertainment, highlighting the potential of real-time difficulty adjustment to improve player engagement and challenge.
Advisor
Guarnera, Heather
Department
Computer Science
Recommended Citation
Chavez, Alexander, "FightCLub: A Study on Adaptive Gameplay Through AI Difficulty Adjustment" (2025). Senior Independent Study Theses. Paper 11557.
https://openworks.wooster.edu/independentstudy/11557
Disciplines
Artificial Intelligence and Robotics
Publication Date
2025
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2025 Alexander Chavez