Fuzzy controller based AI for dynamic difficulty adjustment for defense of the Ancient 2 (DotA2)
Nino Prasetyo Hamal Pratama, Supeno Mardi Susiki Nugroho, Eko Mulyanto Yuniarno · 2016
Defense of the Ancient 2 (DotA2) is a game with a huge player base achieving almost 11 millions players during the time when this paper was written. Even though this game is more focused on its multiplayer players versus players mode, it's bot match mode is still a viable feature provided by Valve for beginner players to start learning DotA2 and even for seasoned players it is still used to testing builds or sharpening their skills. However static AI implemented in this game are often mismatched between the player and the AI difficulty because player themselves don't know how far their limit is. Even for seasoned player facing AI with perfect reaction for the whole game is often still frustrating. This research offer enrichment in gaming experience for players with implementation of Dynamic Difficulty Adjustment (DDA) to avoid this misconception by applying right difficulty based on player in-game records. The result showed that the AI for Dynamic Difficulty Adjustment can be applied in the game.