A Neural Network-based Artificial Intelligence Algorithm with Movement for the Game NPC 


Vol. 35,  No. 12, pp. 1181-1187, Dec.  2010


PDF
  Abstract

This paper proposes a mobile AI (Artificial Intelligence) conducting decision-making in the game through education for intelligent character on the basis of Neural Network. Neural Network is learned through the input/output value of the algorithm which defines the game rule and the problem solving method. The learned character is able to perceive the circumstances and make proper action. In this paper, the mobile AI using Neural Network has been step-by-step designed, and a simple game has been materialized for its functional experiment. In this game, the goal, the character, and obstacles exist on regular 2D space, and the character, evading obstacles, has to move where the goal is. The mobile AI can achieve its goals in changing environment by learning the solution to several problems through the algorithm defined in each experiment. The defined algorithm and Neural Network are designed to make the input/output system the same. As the experimental results, the suggested mobile AI showed that it could perceive the circumstances to conduct action and to complete its mission. If mobile AI learns the defined algorithm even in the game of complex structure, its Neural Network will be able to show proper results even in the changing environment.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

I. Joe and M. Choi, "A Neural Network-based Artificial Intelligence Algorithm with Movement for the Game NPC," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 12, pp. 1181-1187, 2010. DOI: .

[ACM Style]

Inwhee Joe and Moonwon Choi. 2010. A Neural Network-based Artificial Intelligence Algorithm with Movement for the Game NPC. The Journal of Korean Institute of Communications and Information Sciences, 35, 12, (2010), 1181-1187. DOI: .

[KICS Style]

Inwhee Joe and Moonwon Choi, "A Neural Network-based Artificial Intelligence Algorithm with Movement for the Game NPC," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 12, pp. 1181-1187, 12. 2010.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880