ASIA unversity:Item 310904400/2070
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90453/105672 (86%)
Visitors : 12081523      Online Users : 622
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item:

    Title: A Fuzzy Approach to Generating Adaptive Opponents in the Dead End Game
    Contributors: Department of Information Communication, Asia University
    Keywords: computer game;adaptive opponents;artificial intelligence;fuzzy inferencepredator/prey game
    Date: 2008
    Issue Date: 2009-10-13 15:20:34 (UTC+8)
    Publisher: Asia University
    Abstract: In most of current computer games, computer-controlled opponents are often guided by a limited set of fixed strategies. The behavioral repetition of computer-controlled opponents reduces the human player’s enjoyment during gameplay. Furthermore, the predefined fixed difficulty levels of a game are not satisfactory to most human players. Human players prefer challenging games which keep level with
    them. Hence, in this study we propose a fuzzy approach to adapting opponents’ tactics to the behavior of the player such that the player’s win/loss rate is kept at their desired rate. The value of the desired rate can be preset by the player according to the player’s preference for challenge. Our experiments are conducted on a predator/prey game. The experimental results show the adaptation efficiency and robustness of the proposed method.
    Relation: Asian Journal of Health and Information Sciences 3(1-4):19-37
    Appears in Collections:[Asian Journal of Health and Information Sciences] v.3 n.1-4

    Files in This Item:

    File Description SizeFormat
    02.pdf604KbAdobe PDF1059View/Open

    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback