• DocumentCode
    547355
  • Title

    Analysis of rule based look-ahead strategy using Pacman testbed

  • Author

    Ali, Rabia Babar ; Munir, Ali ; Farooqi, Ashfaq Hussain

  • Author_Institution
    Dept. of Comput. Sci., Nat. Univ. of Comput. & Emerging Sci., Islamabad, Pakistan
  • Volume
    3
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    480
  • Lastpage
    483
  • Abstract
    Games may be used as a test-bed for the analysis of the working of any innovative idea that lies in the field of computational or artificial intelligence. There are three general categories of such games; board games (e.g. tic-tac toe, checkers, Othello), video games (e.g. Dead-end, Cellz, Flatland, Pacman, Nero) and robotics. We have implemented a test-bed of Pacman game in C# and applied various strategies to Pacman agent. The fitness of a strategy depends upon two factors; maximum survival of the Pacman player and swallowed pallets. Experimental results favors rule based look-ahead mechanism over random, greedy and rule based with greed approaches.
  • Keywords
    C language; computer games; greedy algorithms; neural nets; C#; Pacman game; Pacman player; Pacman testbed; artificial intelligence; board game; computational intelligence; rule based look ahead strategy; video game; Artificial intelligence; Artificial neural networks; Computers; Evolutionary computation; Games; Humans; Artificial Intelligence (AI); Artificial Neural Network (ANN); Computational Intelligence (CI); Next movement selection strategy; Pacman and Ghosts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952723
  • Filename
    5952723