Optimization of AI Tactic in Action-RPG Game

In an Action RPG game, usually there is one or more player character. Also, there are many enemies and bosses. Player should kill as many as possible to get more experience. A smart AI is needed to increase the game challenge. In this research, a method is proposed to optimize the enemy AI strategy, by implementing enemy units grouping, and attacking in group using hit and run strategy against the player. The grouping is done using clustering, while the behavior picking is using Fuzzy Logic. If the player is approaching a group, most likely the group will retreat and the others start attacking. The units’ formation is also maintained using clustering and distance calculation to player character. From the testing, this method can slightly increasing the game difficulty because of the enemies are trickier.