Evolving strategy for a probabilistic game of imperfect information using genetic programming |
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| Authors: | Wojciech Jaśkowski Krzysztof Krawiec Bartosz Wieloch |
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| Affiliation: | (1) Institute of Computing Science, Poznan University of Technology, Poznan, Poland |
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| 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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