The Evolution of Gamebots for 3D First Person Shooter (FPS)

• Published in: 2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications pp. 21 - 26
• Main Authors: Chang Kee Tong, Ong Jia Hui, Teo, J., Chin Kim On
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2011
• Subjects: Artificial intelligence; Artificial Intelligence (AI); Decision making; Engines; Evolutionary Algorithm (EA); Evolutionary computation; Evolutionary Programming (EP); First Person Shooter (FPS); Games; Humans; Three dimensional displays
• ISBN: 1457710927; 9781457710926
• DOI: 10.1109/BIC-TA.2011.71

The implementation of Artificial Intelligence (AI)in 3-Dimensional (3D) First Person Shooter (FPS) game is quite general nowadays. Most of the conventional AI bots created are mostly from hard coded AI bots. Hence, it has limited the dynamicity of the AI bots and therefore it brings to a fixed strategy for gaming. The main focus of this paper is to discuss the methodologies used in generating the AI bots that is competitive in the FPS gaming. In this paper, a decision making structure is proposed. It has been combined with the Evolutionary Programming in generating the required AI controllers. Hence, there are two methodology discussions involved: (1) the proposed decision making structure and (2)the Evolutionary Programming used. The experiments show highly promising testing results after the generated AI bots have been tested and compared with the conventional ruled based AI bots. It proves that the generated AI bots using the combination of Evolutionary Programming and decision making structure performed better than those AI bots generated using conventional ruled based strategy which is hard coded and time consuming to develop.