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

Content Provider	IEEE Xplore Digital Library
Author	Chang Kee Tong Ong Jia Hui Teo, J. Chin Kim On
Copyright Year	2011
Abstract	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.
Starting Page	21
Ending Page	26
File Size	268141
Page Count	6
File Format	PDF
ISBN	9781457710926
DOI	10.1109/BIC-TA.2011.71
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-27
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial Intelligence (AI) Decision making Humans Games Evolutionary computation Evolutionary Programming (EP) Three dimensional displays Evolutionary Algorithm (EA) First Person Shooter (FPS) Artificial intelligence Engines
Content Type	Text
Resource Type	Article

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