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Dynamic Level of Difficulties Using Q-Learning and Fuzzy Logic
ABOUT
This journal introduces a dynamic difficulty adjustment (DDA) system that combines fuzzy logic and Q-learning to improve player engagement in serious management games. By adapting game complexity based on real-time performance and player behavior, the system increased session length by 35% and overall player effectiveness by 28%. The results show a significant boost in satisfaction and replayability through smarter, more personalized difficulty tuning.
PUBLICATION INFO
VenueIEEE Access (Vol. 12)
DateSeptember 12, 2024
TypeJournal Article
DOI10.1109/ACCESS.2024.3457801
AUTHORS
F. A. Damastuti, K. Firmansyah, Y. M. Arif, T. Dutono, A. Barakbah, M. Hariadi
ABSTRACT
DDA system combining fuzzy logic and Q-learning for player engagement.
RESULTS
Increased session length by 35% and player effectiveness by 28%.