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 fitnessless 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 behavioral patterns observed in its strategy.
@ARTICLE { jaskowski08evolving,
AUTHOR = { Wojciech Ja\'skowski and Krzysztof Krawiec and Bartosz Wieloch },
TITLE = { Evolving Strategy for a Probabilistic Game of Imperfect Information using Genetic Programming },
JOURNAL = { Genetic Programming and Evolvable Machiness },
YEAR = { 2008 },
VOLUME = { 9 },
PAGES = { 281-294 },
NUMBER = { 4 },
ABSTRACT = { 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 fitnessless 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 behavioral patterns observed in its strategy. },
KEYWORDS = { Genetic programming, games, coevolution },
COMMENT = { ProjectELP },
TIMESTAMP = { 2008.06.05 },
}