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Analysis of Game NPC Behavior Routine and Improvement of Interesting using Genetic Algorithm

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2012, 7(2), pp.93-99
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : April 30, 2012

하준 1 Kim Jae Woong 1

1공주대학교

Accredited

ABSTRACT

In games game player are not always interested in giving non-player characters human-level intellect. Game producers write codes to control nonhuman creatures such as dragons, robots, or even rodents. Game AI still needs more study to solve fairly complex problems. However, if NPC is used for attempt to have different personalities and unusual appearances with emotions, fear, and disposition, the effect of entertainment and variety of the game content is expected to be much stronger. Up to now AI interest level in the game industry is low relatively owing to the restrictions of the existing , hardware resources , but in recent game developers , producers and managers think the game AI of as an important factor. This study analyses the behavioral course of NPC applied genetic AI Method to maintain the user's interest and provides the way how to enhance the user's interest. It is shown that Designed and realized game NPC behavioral course is used properly in the game map.

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