Evolving strategy for a probabilistic game of imperfect information using genetic programming

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@Article{Jaskowski:2008:GPEM,
  author =       "Wojciech Jaskowski and Krzysztof Krawiec and 
                 Bartosz Wieloch",
  title =        "Evolving strategy for a probabilistic game of
                 imperfect information using genetic programming",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2008",
  volume =       "9",
  number =       "4",
  pages =        "281--294",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-008-9062-1",
  abstract =     "We provide the complete record of methodology that let
                 us evolve BrilliAnt, the winner of the Ant Wars
                 contest. Ant Wars contestants are virtual ants
                 collecting food on a grid board in the presence of a
                 competing ant. BrilliAnt has been evolved through a
                 competitive one-population coevolution using genetic
                 programming and fitness less selection. In this paper,
                 we detail the evolutionary setup that lead to
                 BrilliAnt's emergence, assess its direct and indirect
                 human-competitiveness, and describe the behavioural
                 patterns observed in its strategy.",
}

Genetic Programming entries for Wojciech Jaskowski Krzysztof Krawiec Bartosz Wieloch

Citations