• DocumentCode
    1046447
  • Title

    Dynamic Difficulty Controlling Game System

  • Author

    Um, Sang-Won ; Kim, Tae-Yong ; Choi, Jong-Soo

  • Author_Institution
    Chung-Ang Univ., Seoul
  • Volume
    53
  • Issue
    2
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    812
  • Lastpage
    818
  • Abstract
    The game artificial intelligence (A.I.) technique has been neglected by this industry but it is recognized as an important part of the game within the framework of genesis. This paper is concerned with game A.I., and describes how a game system can be used for the auto balancing of game difficulty to control the level of difficulty in a game based on the skill of the player. A game involves factor of difficulty control (FDC) and factor of users´ adaptation (FUA). FDC is a factor that makes a game more difficult, and FUA is a factor that shows how well a player plays a game. We propose a dynamic difficulty controlling game system (DDCGS) using FDC and FUA to automatically control the game difficulty according to the skill of the player. Thus, DDCGS extends the game lifecycle and creates a more exciting game for the user by optimizing the player´s game experience .
  • Keywords
    artificial intelligence; computer games; dynamic difficulty controlling game system; factor of difficulty control; factor of users adaptation; game artificial intelligence; genesis; Artificial intelligence; Automatic control; Control systems; Electrical equipment industry; Genetic algorithms; Humans; Motion pictures; TV; Testing; Toy industry;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/TCE.2007.381764
  • Filename
    4266977