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

Tong, Chang Kee and Hui, Ong Jia and Teo, Jason Tze Wi and On, Chin Kim (2011) The evolution of Gamebots for 3D First Person Shooter (FPS). In: 6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011, 27 September 2011, Penang, Malaysia.

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/BIC-TA.2011.71

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.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Artificial Intelligence (AI), Evolutionary Algorithm (EA), Evolutionary Programming (EP), First Person Shooter (FPS)
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:4735
Deposited By:IR Admin
Deposited On:13 Aug 2012 16:03
Last Modified:08 Sep 2014 16:00

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