Fuzzy Coordinator based AI for Dynamic Difficulty Adjustment in Starcraft 2

摘要

Starcraft 2 is a game with quite a big player base achieving around 1 million players during the time when this paper was written. Although this game's focus is at multiplayer player versus player, its bot match mode is still a viable feature provided by Blizzard for beginner players to start learning Starcraft 2. And even for seasoned players, it is still used to improve their skill. However static AI implemented in this game are often mismatched between the player's skill and the AI's difficulty because the player themselves has yet to understand the limitations of their skill. Even for the seasoned player, facing AI with better resource management and resource income for the whole game is often still frustrating. This research offers enrichment in gaming experiences for players by implementing Dynamic Difficulty Adjustment (DDA) to avoid this misconception by applying the right difficulty based on player's in-game records. The result showed that the AI for Dynamic Difficulty Adjustment can be applied in the game.