• DocumentCode
    3738035
  • Title

    Development of a Trax Artificial Intelligence algorithm using path and edge

  • Author

    Ryo Okuda;Tomohiro Tanaka;Keisuke Yamamoto;Takumu Yahagi;Kazuya Tanigawa

  • Author_Institution
    Graduate School of Information Sciences, Hiroshima City University, 3-4-1 Ozuka-higashi, Asaminami, 731-3194 JAPAN
  • fYear
    2015
  • Firstpage
    256
  • Lastpage
    259
  • Abstract
    This paper describes our Trax game engine developed for the FPGA design competition associated with the 2015 International Conference on Field Programmable Technology (FPT´15). We use path and edge for managing the board information in the game engine. Our game engine recognizes victory conditions such as loop and victory line by using path and edge, and also detects loop attack that is a condition where it is possible to form a loop during the next player´s turn. In this paper, we describe the our developed game engine using path and edge.
  • Keywords
    "Games","Artificial intelligence","Image edge detection","Engines","Field programmable gate arrays","Color","Arrays"
  • Publisher
    ieee
  • Conference_Titel
    Field Programmable Technology (FPT), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/FPT.2015.7393118
  • Filename
    7393118