Evolving Strategy for a Probabilistic Game of Imperfect Information using Genetic Programming. Jaśkowski, W., Krawiec, K., & Wieloch, B. Genetic Programming and Evolvable Machines, 9(4):281-294, 2008.
Evolving Strategy for a Probabilistic Game of Imperfect Information using Genetic Programming [pdf]Paper  abstract   bibtex   
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.

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