ASIA unversity:Item 310904400/2070
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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2070


    Title: A Fuzzy Approach to Generating Adaptive Opponents in the Dead End Game
    Authors: LING-LING WANG;HAO-MIN HSIEH
    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

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