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Pattern formation based on potential field in real-time strategy games
Conference paper

Pattern formation based on potential field in real-time strategy games

Cheng-Yu Chen, Xin-Lan Liao, Chien-Chih Liao and Chuan-Kang Ting
Proceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012, pp.332-337
2012

Abstract

Dynamic control Pattern formation Potential field Real-time strategy game StarCraft Artificial Intelligence
Real-time strategy (RTS) game is a very popular genre of computer games. In RTS games, the units need to navigate the environment, surround the enemy, and attack targets. Pattern formation of the units plays an important role in the tactics of RTS games. In this paper, we propose generating the pattern formation based on potential field, which is widely used in collision avoidance. The proposed method controls the movement of units and adjusts their formation considering the number and types of targets. More specifically, once a unit detects the target, it will move in accordance with other units to surround the targets in an attacking distance. The simulation results on StarCraft show the capability of the proposed method to generate pattern formation and adapt to the number and types of enemies. © 2012 IEEE.

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