Generating Diverse Opponents with Multiobjective Evolution

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@InProceedings{Agapitos:2008:CIG,
  author =       "Alexandros Agapitos and Julian Togelius and 
                 Simon M. Lucas and Jurgen Schmidhuber and 
                 Andreas Konstantinidis",
  title =        "Generating Diverse Opponents with Multiobjective
                 Evolution",
  booktitle =    "Proceedings of the 2008 IEEE Symposium on
                 Computational Intelligence and Games",
  year =         "2008",
  pages =        "135--142",
  address =      "Perth, Australia",
  month =        dec # " 15-18",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, Reinforcement
                 Learning, Multiobjective Evolution, AI in Computer
                 Games, EMOA, Car Racing, MOGA, AI game agent,
                 computational intelligence, diverse opponent
                 generation, game play learning, multiobjective
                 evolutionary algorithm, nonplayer character, computer
                 games, evolutionary computation, learning (artificial
                 intelligence), multi-agent systems",
  URL =          "http://julian.togelius.com/Agapitos2008Generating.pdf",
  DOI =          "doi:10.1109/CIG.2008.5035632",
  abstract =     "For computational intelligence to be useful in
                 creating game agent AI, we need to focus on creating
                 interesting and believable agents rather than just
                 learn to play the games well. To this end, we propose a
                 way to use multiobjective evolutionary algorithms to
                 automatically create populations of NPCs, such as
                 opponents and collaborators, that are interestingly
                 diverse in behaviour space. Experiments are presented
                 where a number of partially conflicting objectives are
                 defined for racing game competitors, and multiobjective
                 evolution of GP-based controllers yield Pareto fronts
                 of interesting controllers.",
  notes =        "Also known as \cite{5035632}",
}

Genetic Programming entries for Alexandros Agapitos Julian Togelius Simon M Lucas Jurgen Schmidhuber Andreas Constantinides

Citations