Development of Ghost Controller for Ms Pac-Man Versus Ghost Team with Grammatical Evolution

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@Article{journals/jaciii/TamuraT13,
  author =       "Kenji Tamura and Takashi Torii",
  title =        "Development of Ghost Controller for Ms Pac-Man Versus
                 Ghost Team with Grammatical Evolution",
  journal =      "Journal of Advanced Computational Intelligence and
                 Intelligent Informatics",
  year =         "2013",
  volume =       "17",
  number =       "6",
  pages =        "904--912",
  note =         "Special Issue on Intelligent and Evolutionary
                 Systems",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, grammatical evolution, ms. pac-man versus
                 ghost team, multi-agent",
  bibdate =      "2014-03-17",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/jaciii/jaciii17.html#TamuraT13",
  URL =          "http://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=JACII001700060014.xml",
  abstract =     "These days, artificial intelligence (AI) has been used
                 in game AI. Additionally, video game AI is studied
                 actively in late years, for example, application of
                 commercial game or competition etc. In many video games
                 of recent years, real-time action and non-player
                 characters have been required to attract players. This
                 paper describes how to develop a ghost team controller
                 using evolutionary system to play the video game, Ms
                 Pac-Man. Ms Pac-Man has been used as a test bed of AI,
                 especially multi-agent system. We propose a method to
                 generate the ghost team controller with Grammatical
                 Evolution. In case of developing Ms Pacman agent with
                 Evolutionary Computation using fitness function, the
                 criterion of the fitness is used its obtained high
                 score in many cases. In contrast, ghost team has to
                 prevent Ms Pac-man to get high score, namely hold score
                 in check. However, if Ms Pacman is captured in low
                 score by accident, its ghost strategy have a
                 possibility to survive next generation, and if the
                 ghosts pursue Ms Pac-man in a line, agent is not
                 captured for all time. Therefore developing ghost team
                 agent is required to avoid these issues, and we
                 introduced a penalty to the fitness, grammar like
                 instinct and to attack Ms Pac-Man on both sides. This
                 paper introduces experimental data about the ghost team
                 controller for Ms Pac-Man versus ghost team, we used
                 ghost team agents and tested them Ms Pac-Man agents.
                 The experimental results showed that proposed system
                 could catch Ms Pac-Man agent compare with simple
                 hand-coded ghost teams, and the evolved controller we
                 made worked effectively. These results are concluded
                 that proposed method works effectively for generating
                 ghost controller.",
  notes =        "Oct 2015 much of www.fujipress.jp was broken",
}

Genetic Programming entries for Kenji Tamura Takashi Torii

Citations