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 { jaskowski08gpem,
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. },
AUTHOR = { Wojciech Ja{\'s}kowski and Krzysztof Krawiec and Bartosz Wieloch },
COMMENT = { ProjectELP },
DOI = { doi:10.1007/s10710-008-9062-1 },
JOURNAL = { Genetic Programming and Evolvable Machines },
NUMBER = { 4 },
PAGES = { 281--294 },
TITLE = { Evolving Strategy for a Probabilistic Game of Imperfect Information using Genetic Programming },
VOLUME = { 9 },
YEAR = { 2008 },
1 = { https://doi.org/10.1007/s10710-008-9062-1 },
}